From 62fb9625b14726114fa0aead26a0f7be990ba56c Mon Sep 17 00:00:00 2001 From: Michael Walshe Date: Thu, 15 Aug 2024 09:03:38 +0100 Subject: [PATCH 1/4] Add Python survey stats example and comparison, including samplics dependency and data required. Additionally small tweaks to existing survey examples, and update stat method table --- ... => r-sas-python_survey-stats-summary.qmd} | 146 +- R/survey-stats-summary.qmd | 3 +- SAS/survey-stats-summary.qmd | 2 + data/apisrs.csv | 201 + data/nhanes.csv | 8592 +++++++++++++++++ data/stat_method_tbl.csv | 2 +- python/survey-stats-summary.qmd | 162 + requirements.txt | 24 +- 8 files changed, 9109 insertions(+), 23 deletions(-) rename Comp/{r-sas_survey-stats-summary.qmd => r-sas-python_survey-stats-summary.qmd} (67%) create mode 100644 data/apisrs.csv create mode 100644 data/nhanes.csv create mode 100644 python/survey-stats-summary.qmd diff --git a/Comp/r-sas_survey-stats-summary.qmd b/Comp/r-sas-python_survey-stats-summary.qmd similarity index 67% rename from Comp/r-sas_survey-stats-summary.qmd rename to Comp/r-sas-python_survey-stats-summary.qmd index b0ae1bde..4a73a0ef 100644 --- a/Comp/r-sas_survey-stats-summary.qmd +++ b/Comp/r-sas-python_survey-stats-summary.qmd @@ -1,27 +1,33 @@ --- -title: "R vs SAS Survey Summary Statistics" +title: "R vs SAS vs Python Survey Summary Statistics" bibliography: survey-stats-summary.bib --- -This document will compare the survey summary statistics functionality in SAS (available through SAS/STAT) and R (available from the [`{survey}`](%5B%60%7Bsurvey%7D%60%5D(https://r-survey.r-forge.r-project.org/survey/html/api.html)) package), highlighting differences in methods and results. Only the default Taylor series linearisation method for calculating variances is used in both languages. A more detailed comparison for specific methods and use-cases is available in [@2017_YRBS], [@so2020modelling], or [@adamico_2009]. For a general guide to survey statistics, which has companion guides for both R and SAS, see [@Lohr_2022] +This document will compare the survey summary statistics functionality in SAS (available through SAS/STAT), R (available from the [`{survey}`](%5B%60%7Bsurvey%7D%60%5D(https://r-survey.r-forge.r-project.org/survey/html/api.html)) package), and Python (available from the [`samplics`](https://samplics-org.github.io/samplics/) package), highlighting differences in methods and results. Only the default Taylor series linearisation method for calculating variances is used in all languages. A more detailed comparison between R and SAS for specific methods and use-cases is available in [@2017_YRBS], [@so2020modelling], or [@adamico_2009]. For a general guide to survey statistics, which has companion guides for both R and SAS, see [@Lohr_2022]. # Result Comparison The following table shows different survey summary statistics, the capabilities of each language, and whether or not the results match. Each analysis also includes calculating the standard error and confidence intervals. -| Analysis | Supported in R | Supported in SAS | Results Match | Notes | -|---------------|---------------|---------------|---------------|---------------| -| Mean | [Yes](../R/survey-stats-summary.html#Mean) | [Yes](../SAS/survey-stats-summary.html#Mean) | Yes | Must specify degrees of freedom in R for confidence limits | -| Total | [Yes](../R/survey-stats-summary.html#Total) | [Yes](../SAS/survey-stats-summary.html#Total) | Yes | Must specify degrees of freedom in R for confidence limits | -| Ratios | [Yes](../R/survey-stats-summary.html#Ratios) | [Yes](../SAS/survey-stats-summary.html#Ratios) | Yes | Must specify degrees of freedom in R for confidence limits | -| Proportions | [Yes](../R/survey-stats-summary.html#Proportions) | [Yes](../SAS/survey-stats-summary.html##Proportions) | Yes | For confidence limits of proportions near 0 and 1, `survey::svyciprop` can be more accurate in R. | -| Quantiles | [Yes](../R/survey-stats-summary.html#Quantiles) | [Yes](../SAS/survey-stats-summary.html#Quantiles) | [No](#Quantiles) | Different methods for calculating quantiles | -| Domain Analysis | [Yes](../R/survey-stats-summary.html#Summary%20Statistics%20on%20Complex%20Survey%20Designs) | [Yes](../SAS/survey-stats-summary.html##Summary%20Statistics%20on%20Complex%20Survey%20Designs) | Yes | | -| Design Effect | [Yes](../R/survey-stats-summary.html#Summary%20Statistics%20on%20Complex%20Survey%20Designs) | [Yes](../SAS/survey-stats-summary.html##Summary%20Statistics%20on%20Complex%20Survey%20Designs) | Yes | Set `deff="replace"` in R to match SAS exactly | +| Analysis | Supported in R | Supported in SAS | Supported in Python | Results Match\* | Notes | +|------------|------------|------------|------------|------------|------------| +| Mean | [Yes](../R/survey-stats-summary.html#Mean) | [Yes](../SAS/survey-stats-summary.html#Mean) | [Yes](../Python/survey-stats-summary.html#Mean) | Yes | Must specify degrees of freedom in R for confidence limits | +| Total | [Yes](../R/survey-stats-summary.html#Total) | [Yes](../SAS/survey-stats-summary.html#Total) | [Yes](../Python/survey-stats-summary.html#Total) | Yes | Must specify degrees of freedom in R for confidence limits | +| Ratios | [Yes](../R/survey-stats-summary.html#Ratios) | [Yes](../SAS/survey-stats-summary.html#Ratios) | [Yes](../Python/survey-stats-summary.html#Ratios) | Yes | Must specify degrees of freedom in R for confidence limits | +| Proportions | [Yes](../R/survey-stats-summary.html#Proportions) | [Yes](../SAS/survey-stats-summary.html##Proportions) | [Yes](../Python/survey-stats-summary.html#Proportions) | Yes\*\* | In Python, the confidence limits of proportions only match to 1 or 2 s.f. This is due to a different method being used, which is undocumented. | +| Quantiles | [Yes](../R/survey-stats-summary.html#Quantiles) | [Yes](../SAS/survey-stats-summary.html#Quantiles) | No | [No](#Quantiles) | Different methods for calculating quantiles | +| Domain Analysis | [Yes](../R/survey-stats-summary.html#Summary%20Statistics%20on%20Complex%20Survey%20Designs) | [Yes](../SAS/survey-stats-summary.html##Summary%20Statistics%20on%20Complex%20Survey%20Designs) | [Yes](../Python/survey-stats-summary.html#Domain%20Estimations) | Yes | | +| Design Effect | [Yes](../R/survey-stats-summary.html#Summary%20Statistics%20on%20Complex%20Survey%20Designs) | [Yes](../SAS/survey-stats-summary.html##Summary%20Statistics%20on%20Complex%20Survey%20Designs) | No | Yes | Set `deff="replace"` in R to match SAS exactly | -For the full R and SAS code and results used for this comparison, see below: +*\*Results match where feature is available* + +*\*\*For confidence limits of proportions near 0 and 1, `survey::svyciprop` can be more accurate than `confint` in R, but does not match other software.* + +For the full R, SAS, and Python code and results used for this comparison, see below: ::: {.callout-note collapse="true" appearance="minimal" title="Show Code"} +## R + ```{r} #| message: false #| warning: false @@ -92,6 +98,8 @@ print(list( )) ``` +## SAS + ``` default * Mean, sum quantile of HI_CHOL; proc surveymeans data=nhanes mean sum clm quantile=(0.025 0.5 0.975); @@ -240,13 +248,93 @@ run; 4 HI_CHOL 0.099679 0.024666 3.098290 ------------------------------------------------------------------------ ``` + +## Python + +```{python} +import pandas as pd +from samplics import TaylorEstimator +from samplics.utils.types import PopParam + +nhanes = pd.read_csv("../data/nhanes.csv") + +nhanes_design_kwargs = dict( + psu=nhanes["SDMVPSU"], + stratum=nhanes["SDMVSTRA"], + samp_weight=nhanes["WTMEC2YR"], + remove_nan=True, +) + +# Mean of HI_CHOL +mean_estimator = TaylorEstimator(PopParam.mean) +mean_estimator.estimate(nhanes["HI_CHOL"], **nhanes_design_kwargs) +hi_chol_means = mean_estimator.to_dataframe() + +# Sum of HI_CHOL +total_estimator = TaylorEstimator(PopParam.total) +total_estimator.estimate(nhanes["HI_CHOL"], **nhanes_design_kwargs) +hi_chol_totals = total_estimator.to_dataframe() + +# Ratio of HI_CHOL / RIAGENDR +ratio_estimator = TaylorEstimator(PopParam.ratio) +ratio_estimator.estimate( + y=nhanes["HI_CHOL"], x=nhanes["RIAGENDR"], **nhanes_design_kwargs +) +hi_chol_ratio = ratio_estimator.to_dataframe() + +# Proportion of different AGECAT values +prop_estimator = TaylorEstimator(PopParam.prop) +prop_estimator.estimate(nhanes["agecat"], **nhanes_design_kwargs) +agecat_prop = prop_estimator.to_dataframe() + +# Quantiles of HI_CHOL +# NA + +# Domain analysis of mean of HI_CHOL by race, with design effect +mean_estimator = TaylorEstimator(PopParam.mean) +mean_estimator.estimate( + nhanes["HI_CHOL"], + **nhanes_design_kwargs, + domain=nhanes["race"], + deff=True, # Design effect param currently has no effect +) +hi_chol_domain_means = mean_estimator.to_dataframe() + + +ag_dict = agecat_prop.set_index("_level").to_dict() +hc_dict = hi_chol_domain_means.set_index("_domain").to_dict() + +print( + f""" + Mean of HI_CHOL: {hi_chol_means["_estimate"][0]} + SE of Mean HI_CHOL: {hi_chol_means["_stderror"][0]} + CL of Mean HI_CHOL: {(hi_chol_means["_lci"][0], hi_chol_means["_uci"][0])} + Sum of HI_CHOL: {hi_chol_totals["_estimate"][0]} + SE of Sum HI_CHOL: {hi_chol_totals["_stderror"][0]} + CL of Sum HI_CHOL: {(hi_chol_totals["_lci"][0], hi_chol_totals["_uci"][0])} + Ratio of HI_CHOL / RIAGENDR: {hi_chol_ratio["_estimate"][0]} + SE of Ratio HI_CHOL / RIAGENDR: {hi_chol_ratio["_stderror"][0]} + CL of Ratio HI_CHOL / RIAGENDR: {(hi_chol_ratio["_lci"][0], hi_chol_ratio["_uci"][0])} + Proportion of AGECAT: {ag_dict["_estimate"]} + SE of Proportion AGECAT: {ag_dict["_stderror"]} + LCL of Proportion AGECAT: {ag_dict["_lci"]} + UCL of Proportion AGECAT: {ag_dict["_uci"]} + Quantiles of HI_CHOL: Not available + Mean of HI_CHOL by race: {hc_dict["_estimate"]} + SE of HI_CHL by race: {hc_dict["_stderror"]} + LCL of HI_CHOL by race: {hc_dict["_lci"]} + UCL of HI_CHOL by race: {hc_dict["_uci"]} + Design Effect of HI_CHOL by race: Not available + """ +) +``` ::: # Differences ## Quantiles {#quantiles} -To demonstrate the differences in calculating quantiles, we will use the `apisrs` dataset from the `survey` package in R [@API_2000]. +`samplics` in Python does not have a method for calculating quantiles, and in R and SAS the available methods lead to different results. To demonstrate the differences in calculating quantiles, we will use the `apisrs` dataset from the `survey` package in R [@API_2000]. ```{r} #| message: false @@ -257,7 +345,7 @@ data("api") head(apisrs) |> gt::gt() ``` -In SAS, PROC SURVEYMEANS will calculate quantiles of specific probabilities as you request them, using Woodruff's method for intervals and a custom quantile method [@SAS_2018, pp. 9834]. The quantile method does not match any of the available `qrules` in R, and although the default `interval.types` in the R `survey::svyquantile` function also uses Woddruff's method, it is a different implementation. +In SAS, PROC SURVEYMEANS will calculate quantiles of specific probabilities as you request them, using Woodruff's method for intervals and a custom quantile method [@SAS_2018, pp. 9834]. The quantile method does not match any of the available `qrules` in R, and although the default `interval.types` in the R `survey::svyquantile` function also uses Woodruff's method, it is a different implementation. The method and results from SAS are as follows: @@ -302,7 +390,7 @@ svyquantile( ) ``` -Here we can see that the quantiles, confidence intervals, and standard errors do not match SAS. From testing, none of the available `qrule` methods match SAS for the quantile values, so it is recommended to use the default values unless you have need of some of the other properties of different quantile definitions. If an exact match to SAS is required, then the `svyquantile` function allows for passing a custom function to the `qrule` argument to define your own method for calculating quantiles. Below is an example that will match SAS: +Here we can see that the quantiles, confidence intervals, and standard errors do not match SAS. From testing, none of the available `qrule` methods match SAS for the quantile values, so it is recommended to use the default values unless you have need of some of the other properties of different quantile definitions - see [`vignette("qrule", package="survey")`](https://cran.r-project.org/web/packages/survey/vignettes/qrule.pdf) for more detail. If an exact match to SAS is required, then the `svyquantile` function allows for passing a custom function to the `qrule` argument to define your own method for calculating quantiles. Below is an example that will match SAS: ```{r} sas_qrule <- function(x, w, p) { @@ -358,12 +446,18 @@ Some of the functions in R require the degrees of freedom to be specified when c ### Single PSU Strata -Although it was not apparent with the examples used here, if there is only one PSU from a stratum then R will by default error, whereas SAS will remove that stratum from the variance calculation. This can be changed in R by setting the `options(survey.lonely.psu="certainty")` to match SAS and have it make no contribution to the variance. +Although it was not apparent with the examples used here, if there is only one PSU from a stratum then R will by default error, whereas SAS will remove that stratum from the variance calculation. This can be changed in R by setting the `options(survey.lonely.psu="certainty")` to match SAS and have it make no contribution to the variance. In `samplics`, this behaviour can be configured using the `single_psu` argument to the `estimate` method, and can be set to to match SAS using `SinglePSUEst.certainty`. This should be considered carefully however, in R and Python there are additional methods of handling single PSUs that may be more appropriate for your use-case. + +### Documentation Differences + +One key consideration when choosing a statistical package is the documentation available. In this case, both the `survey` package in R and the survey procedures in SAS have a much more comprehensive set of documentation and examples than `samplics` in Python. This includes both detailed examples, as well as the underlying theory and methods used in the calculations including references to the literature. # Summary and Recommendations The `{survey}` package in R and the survey procedures in SAS/STAT both provide similar functionality for calculating survey summary statistics. In most cases in both our tests and others, the results are identical ([@2017_YRBS], [@so2020modelling], [@adamico_2009]). Where differences do occur, primarily in calculating quantiles, the methods in R are more varied and well-documented. +In contrast, the `samplics` package in Python is still early in development, and although it does provide some functionality there are still major limitations in both basic statistics (i.e. quantiles) and in more complex methods that were beyond the scope of this document, and the methods are much less well-documented. + ::: {.callout-note collapse="true" title="Session Info"} ```{r} #| echo: false @@ -371,4 +465,24 @@ si <- sessioninfo::session_info("survey", dependencies = FALSE) si$external <- structure(list("SAS" = "9.04.01M7P080520"), class = c("external_info", "list")) si ``` + +```{python} +#| echo: false +# Although sessioninfo::session_info can report on Python config, it depends on `{reticulate}` which +# may not be used. Instead, use the following to replicate +import sys +from importlib.metadata import version + +# Add packages to the list here +packages = ["samplics"] + +max_len = max(len(pkg) for pkg in packages + ["Python"]) + 3 +message = ( + "─ Python configuration ".ljust(79, "─") + "\n" + + " Python".ljust(max_len) + sys.version + "\n" + + "\n".join(f" {pkg}".ljust(max_len) + version(pkg) for pkg in packages) +) + +print(message) +``` ::: diff --git a/R/survey-stats-summary.qmd b/R/survey-stats-summary.qmd index 085c1ab0..6d63bcd9 100644 --- a/R/survey-stats-summary.qmd +++ b/R/survey-stats-summary.qmd @@ -15,6 +15,8 @@ When conducting large-scale trials on samples of the population, it can be neces All of these designs need to be taken into account when calculating statistics, and when producing models. Only summary statistics are discussed in this document, and variances are calculated using the default Taylor series linearisation methods. For a more detailed introduction to survey statistics in R, see [@Lohr_2022] or [@tlumley_2004]. +We will use the [`{survey}`](https://cran.r-project.org/web/packages/survey/index.html) package, which is the standard for survey statistics in R. Note that for those who prefer the tidyverse, the [`{srvyr}`](https://cran.r-project.org/web/packages/srvyr/index.html) package is a wrapper around `{survey}` with `{dplyr}` like syntax. + # Simple Survey Designs We will use the [API]((https://r-survey.r-forge.r-project.org/survey/html/api.html)) dataset [@API_2000], which contains a number of datasets based on different samples from a dataset of academic performance. Initially we will just cover the methodology with a simple random sample and a finite population correction to demonstrate functionality. @@ -145,7 +147,6 @@ svyby(~HI_CHOL, ~race, nhanes_design, svymean, na.rm=TRUE, deff=TRUE) ```{r} #| echo: false si <- sessioninfo::session_info("survey", dependencies = FALSE) -si$external <- structure(list("SAS" = "9.04.01M7P080520"), class = c("external_info", "list")) si ``` ::: diff --git a/SAS/survey-stats-summary.qmd b/SAS/survey-stats-summary.qmd index 5590d4a3..4f1d3e0a 100644 --- a/SAS/survey-stats-summary.qmd +++ b/SAS/survey-stats-summary.qmd @@ -15,6 +15,8 @@ When conducting large-scale trials on samples of the population, it can be neces All of these designs need to be taken into account when calculating statistics, and when producing models. Only summary statistics are discussed in this document, and variances are calculated using the default Taylor series linearisation methods. For a more detailed introduction to survey statistics in SAS, see [@Lohr_2022] or [@SAS_2018]. +For survey summary statistics in SAS, we can use the `SURVEYMEANS` and `SURVEYFREQ` procedures. + # Simple Survey Designs We will use the [API]((https://r-survey.r-forge.r-project.org/survey/html/api.html)) dataset [@API_2000], which contains a number of datasets based on different samples from a dataset of academic performance. Initially we will just cover the methodology with a simple random sample and a finite population correction to demonstrate functionality. diff --git a/data/apisrs.csv b/data/apisrs.csv new file mode 100644 index 00000000..37df4f92 --- /dev/null +++ b/data/apisrs.csv @@ -0,0 +1,201 @@ +"cds","stype","name","sname","snum","dname","dnum","cname","cnum","flag","pcttest","api00","api99","target","growth","sch.wide","comp.imp","both","awards","meals","ell","yr.rnd","mobility","acs.k3","acs.46","acs.core","pct.resp","not.hsg","hsg","some.col","col.grad","grad.sch","avg.ed","full","emer","enroll","api.stu","pw","fpc" +"15739081534155","H","McFarland High","McFarland High",1039,"McFarland Unified",432,"Kern",14,,98,462,448,18,14,"No","Yes","No","No",44,31,,6,,,24,82,44,34,12,7,3,1.9099999666214,71,35,477,429,30.97,6194 +"19642126066716","E","Stowers (Cecil ","Stowers (Cecil B.) Elementary",1124,"ABC Unified",1,"Los Angeles",18,,100,878,831,,47,"Yes","Yes","Yes","Yes",8,25,,15,19,30,,97,4,10,23,43,21,3.66000008583069,90,10,478,420,30.97,6194 +"30664493030640","H","Brea-Olinda Hig","Brea-Olinda High",2868,"Brea-Olinda Unified",79,"Orange",29,,98,734,742,3,-8,"No","No","No","No",10,10,,7,,,28,95,5,9,21,41,24,3.71000003814697,83,18,1410,1287,30.97,6194 +"19644516012744","E","Alameda Element","Alameda Elementary",1273,"Downey Unified",187,"Los Angeles",18,,99,772,657,7,115,"Yes","Yes","Yes","Yes",70,25,,23,23,,,100,37,40,14,8,1,1.96000003814697,85,18,342,291,30.97,6194 +"40688096043293","E","Sunnyside Eleme","Sunnyside Elementary",4926,"San Luis Coastal Unified",640,"San Luis Obispo",39,,99,739,719,4,20,"Yes","Yes","Yes","Yes",43,12,,12,20,29,,91,8,21,27,34,10,3.17000007629395,100,0,217,189,30.97,6194 +"19734456014278","E","Los Molinos Ele","Los Molinos Elementary",2463,"Hacienda la Puente Unif",284,"Los Angeles",18,,93,835,822,,13,"Yes","Yes","Yes","No",16,19,,13,19,29,,71,1,8,20,38,34,3.96000003814697,75,20,258,211,30.97,6194 +"19647336058200","M","Northridge Midd","Northridge Middle",2031,"Los Angeles Unified",401,"Los Angeles",18,,98,456,472,16,-16,"No","No","No","No",81,40,,22,,30,27,49,30,27,18,22,2,2.39000010490417,72,25,1274,1090,30.97,6194 +"19647336017271","E","Glassell Park E","Glassell Park Elementary",1736,"Los Angeles Unified",401,"Los Angeles",18,,99,506,474,16,32,"Yes","Yes","Yes","Yes",98,65,"No",43,18,29,,75,49,31,15,2,3,1.78999996185303,69,22,566,353,30.97,6194 +"19648166020747","E","Maxson Elementa","Maxson Elementary",2142,"Mountain View Elem",470,"Los Angeles",18,,100,543,458,17,85,"Yes","Yes","Yes","Yes",94,65,,15,19,32,,99,48,34,14,4,1,1.76999998092651,68,29,645,563,30.97,6194 +"38684786041669","E","Treasure Island","Treasure Island Elementary",4754,"San Francisco Unified",632,"San Francisco",37,,90,649,604,10,45,"Yes","No","No","No",85,57,,10,16,25,30,49,23,36,14,21,6,2.50999999046326,81,7,311,258,30.97,6194 +"19647336016497","E","Cimarron Avenue","Cimarron Avenue Elementary",1669,"Los Angeles Unified",401,"Los Angeles",18,,95,556,575,11,-19,"No","No","No","No",81,4,,20,16,27,,62,5,38,29,24,5,2.84999990463257,84,16,328,253,30.97,6194 +"25735934737250","H","Tulelake High","Tulelake High",2721,"Tulelake Basin Unified",753,"Modoc",24,,100,671,620,9,51,"Yes","Yes","Yes","Yes",67,25,,12,,,17,96,44,19,17,19,2,2.17000007629395,100,0,210,166,30.97,6194 +"15638426010268","M","Jefferson (Thom","Jefferson (Thomas) Middle",1027,"Wasco Union Elementary",784,"Kern",14,,97,528,524,14,4,"No","No","No","No",77,32,,4,,,27,77,40,34,16,8,2,1.96000003814697,89,11,529,492,30.97,6194 +"01611766000715","E","Maloney (Tom) E","Maloney (Tom) Elementary",63,"Fremont Unified",248,"Alameda",1,,99,742,691,5,51,"Yes","Yes","Yes","Yes",20,16,,32,19,29,,96,4,14,25,37,19,3.52999997138977,95,5,313,254,30.97,6194 +"48705406051072","E","Bransford Eleme","Bransford Elementary",5574,"Fairfield-Suisun Unified",229,"Solano",47,,98,555,505,15,50,"Yes","Yes","Yes","Yes",70,23,"No",17,21,30,,39,14,57,18,10,1,2.25999999046326,96,6,628,519,30.97,6194 +"19647336016786","E","Dolores Street ","Dolores Street Elementary",1693,"Los Angeles Unified",401,"Los Angeles",18,,100,631,594,10,37,"Yes","Yes","Yes","Yes",75,18,,9,20,27,,51,18,28,27,23,3,2.65000009536743,83,10,570,518,30.97,6194 +"44697656113559","M","Shoreline Middl","Shoreline Middle",5453,"Live Oak Elementary",386,"Santa Cruz",43,,99,698,677,6,21,"Yes","Yes","Yes","Yes",24,13,,11,,29,25,99,15,26,20,28,10,2.94000005722046,92,8,714,632,30.97,6194 +"27659876026033","M","Carmel Middle","Carmel Middle",2736,"Carmel Unified",111,"Monterey",26,,100,810,794,1,16,"Yes","Yes","Yes","Yes",10,0,,12,,21,24,83,2,7,28,31,32,3.83999991416931,97,3,621,560,30.97,6194 +"36678763634680","H","Pacific High","Pacific High",4125,"San Bernardino City Unif",627,"San Bernardino",35,,95,502,505,15,-3,"No","No","No","No",72,23,,15,,,31,80,31,26,30,11,3,2.29999995231628,83,14,1950,1717,30.97,6194 +"19644696012918","E","Andres Duarte E","Andres Duarte Elementary",1290,"Duarte Unified",189,"Los Angeles",18,,100,532,494,15,38,"Yes","Yes","Yes","Yes",82,30,,18,19,33,,99,16,60,14,9,1,2.20000004768372,90,17,411,323,30.97,6194 +"33669776031512","E","Arlanza Element","Arlanza Elementary",3347,"Alvord Unified",19,"Riverside",32,,99,430,391,20,39,"Yes","Yes","Yes","Yes",87,60,"No",28,20,32,,95,53,32,13,2,1,1.6599999666214,64,31,593,438,30.97,6194 +"19647336016349","E","Caroldale Avenu","Caroldale Avenue Elementary",1654,"Los Angeles Unified",401,"Los Angeles",18,,97,658,615,9,43,"Yes","Yes","Yes","Yes",59,18,,13,19,29,26,78,14,21,28,33,5,2.94000005722046,76,13,828,745,30.97,6194 +"19647336019160","E","Shenandoah Stre","Shenandoah Street Elementary",1909,"Los Angeles Unified",401,"Los Angeles",18,,84,453,423,19,30,"Yes","Yes","Yes","No",98,53,,13,18,29,,35,19,36,17,25,4,2.5699999332428,61,30,570,437,30.97,6194 +"54722566054654","E","Mountain View E","Mountain View Elementary",5928,"Visalia Unified",779,"Tulare",53,,100,635,619,9,16,"Yes","Yes","Yes","Yes",37,4,"No",16,18,27,,100,5,33,38,21,3,2.84999990463257,97,3,552,495,30.97,6194 +"19648166020705","M","Kranz (Charles ","Kranz (Charles T.) Intermediat",2138,"Mountain View Elem",470,"Los Angeles",18,,99,508,471,16,37,"Yes","Yes","Yes","Yes",91,62,,14,,,29,99,64,23,9,3,1,1.52999997138977,85,8,1016,820,30.97,6194 +"19650456107205","E","Pinetree Commun","Pinetree Community Elementary",2335,"Sulphur Springs Un Elem",720,"Los Angeles",18,,99,804,787,1,17,"Yes","Yes","Yes","Yes",10,1,"No",7,19,27,,95,1,26,35,31,7,3.17000007629395,96,4,684,638,30.97,6194 +"19643036011704","E","Foster (Stephen","Foster (Stephen) Elementary",1200,"Bellflower Unified",56,"Los Angeles",18,,100,813,794,1,19,"Yes","Yes","Yes","Yes",24,2,,21,20,31,,66,4,18,40,28,11,3.24000000953674,95,5,535,465,30.97,6194 +"19647336016422","E","Chandler Elemen","Chandler Elementary",1662,"Los Angeles Unified",401,"Los Angeles",18,,100,650,590,11,60,"Yes","Yes","Yes","Yes",74,41,,22,15,27,,1,0,75,25,0,0,2.25,69,31,381,299,30.97,6194 +"36678766068712","M","Serrano Middle","Serrano Middle",4171,"San Bernardino City Unif",627,"San Bernardino",35,,97,569,552,12,17,"Yes","No","No","No",67,15,,20,,,30,100,27,32,28,10,2,2.28999996185303,78,27,1051,841,30.97,6194 +"37735696038863","M","Lincoln Middle","Lincoln Middle",4664,"Oceanside Unified",510,"San Diego",36,,99,642,618,9,24,"Yes","Yes","Yes","Yes",44,21,,31,,32,31,91,24,19,27,21,8,2.71000003814697,95,5,1405,1167,30.97,6194 +"19647336017735","E","Kittridge Stree","Kittridge Street Elementary",1779,"Los Angeles Unified",401,"Los Angeles",18,,99,500,424,19,76,"Yes","Yes","Yes","Yes",93,73,"No",22,18,30,,0,0,0,0,0,0,,73,25,688,566,30.97,6194 +"37682966070841","E","Los Penasquitos","Los Penasquitos Elementary",4430,"Poway Unified",575,"San Diego",36,,99,808,772,1,36,"Yes","Yes","Yes","Yes",37,28,,13,19,30,,95,4,14,37,30,15,3.38000011444092,100,6,408,352,30.97,6194 +"48705406067144","E","Richardson (H. ","Richardson (H. Glenn) Elementary",5586,"Fairfield-Suisun Unified",229,"Solano",47,,100,594,555,12,39,"Yes","No","No","No",51,8,"No",10,21,32,,43,7,48,32,10,3,2.52999997138977,92,8,436,380,30.97,6194 +"34674473438504","H","San Juan High","San Juan High",3809,"San Juan Unified",636,"Sacramento",33,,96,607,589,11,18,"Yes","Yes","Yes","Yes",37,23,,21,,,28,87,7,26,25,35,6,3.07999992370605,94,6,734,556,30.97,6194 +"36676376105936","E","Big Bear Elemen","Big Bear Elementary",3925,"Bear Valley Unified",50,"San Bernardino",35,,99,760,717,4,43,"Yes","Yes","Yes","Yes",37,9,,14,19,27,,87,8,22,30,25,14,3.13000011444092,100,3,449,387,30.97,6194 +"21654662134005","H","Terra Linda Hig","Terra Linda High",2614,"San Rafael City High",649,"Marin",20,,85,764,749,3,15,"Yes","Yes","Yes","No",4,2,,4,,,26,88,4,5,15,42,33,3.95000004768372,92,8,713,282,30.97,6194 +"13631236008437","E","Harding Element","Harding Elementary",837,"El Centro Elementary",200,"Imperial",12,,100,622,519,14,103,"Yes","Yes","Yes","Yes",96,56,,24,19,33,,61,14,25,30,17,14,2.92000007629395,100,4,397,353,30.97,6194 +"44698156049886","E","De Laveaga Elem","De Laveaga Elementary",5485,"Santa Cruz City Elem",657,"Santa Cruz",43,,98,793,750,3,43,"Yes","Yes","Yes","Yes",26,16,,8,20,26,,87,15,9,22,31,23,3.36999988555908,93,4,373,328,30.97,6194 +"56739406102230","M","Chaparral Middl","Chaparral Middle",6135,"Moorpark Unified",460,"Ventura",55,,100,802,758,2,44,"Yes","Yes","Yes","Yes",18,13,,12,,29,30,84,7,10,15,42,26,3.71000003814697,97,3,835,783,30.97,6194 +"39686766042766","E","Taft (William H","Taft (William Howard) Elementary",4879,"Stockton City Unified",716,"San Joaquin",38,,100,529,482,16,47,"Yes","Yes","Yes","Yes",83,28,,16,18,23,,68,31,23,29,14,4,2.36999988555908,80,13,352,315,30.97,6194 +"49708546051965","E","McKinley Elemen","McKinley Elementary",5647,"Petaluma City Elementary",547,"Sonoma",48,,100,630,612,9,18,"Yes","No","No","No",52,26,,17,22,26,,93,25,24,31,15,5,2.50999999046326,100,0,213,169,30.97,6194 +"15635456009641","E","Kernville Eleme","Kernville Elementary",973,"Kernville Union Elem",335,"Kern",14,,98,742,696,5,46,"Yes","Yes","Yes","Yes",57,0,,15,17,24,,100,11,33,32,13,12,2.82999992370605,100,0,151,122,30.97,6194 +"10621176005854","E","Dry Creek Eleme","Dry Creek Elementary",590,"Clovis Unified",140,"Fresno",9,,99,842,833,,9,"Yes","Yes","Yes","Yes",15,6,,13,20,35,,95,3,21,23,39,14,3.41000008583069,94,6,567,519,30.97,6194 +"19647336020010","E","Wonderland Aven","Wonderland Avenue Elementary",1993,"Los Angeles Unified",401,"Los Angeles",18,,100,903,891,,12,"Yes","Yes","Yes","Yes",14,16,,22,19,30,,81,0,8,11,54,28,4.01999998092651,75,25,339,324,30.97,6194 +"19647336019186","E","Sherman Oaks El","Sherman Oaks Elementary",1911,"Los Angeles Unified",401,"Los Angeles",18,,100,720,708,5,12,"Yes","No","No","No",21,13,,20,19,27,,72,5,22,18,37,18,3.41000008583069,81,11,632,570,30.97,6194 +"15633396009229","M","Beardsley Junio","Beardsley Junior High",908,"Beardsley Elementary",51,"Kern",14,,100,634,602,10,32,"Yes","Yes","Yes","Yes",74,2,,18,,,26,97,34,43,16,7,0,1.97000002861023,93,7,318,250,30.97,6194 +"34674216033757","E","Taylor Street E","Taylor Street Elementary",3727,"Robla Elementary",606,"Sacramento",33,,100,529,550,13,-21,"No","No","No","No",78,17,,3,20,29,,94,34,47,12,6,1,1.92999994754791,96,4,454,439,30.97,6194 +"19642876011407","E","Deanza Elementa","Deanza Elementary",1169,"Baldwin Park Unified",42,"Los Angeles",18,,100,540,457,17,83,"Yes","Yes","Yes","Yes",90,66,,13,20,31,,0,0,0,0,0,0,,69,26,641,582,30.97,6194 +"37680236037865","E","Halecrest Eleme","Halecrest Elementary",4295,"Chula Vista Elementary",135,"San Diego",36,,100,795,758,2,37,"Yes","Yes","Yes","Yes",26,14,,23,19,28,,0,0,0,0,0,0,,97,3,407,353,30.97,6194 +"37683386040190","E","King (Martin Lu","King (Martin Luther) Elementary",4551,"San Diego City Unified",630,"San Diego",36,,100,485,406,20,79,"Yes","Yes","Yes","Yes",100,78,,24,21,29,,84,76,14,8,2,1,1.38999998569489,84,7,508,489,30.97,6194 +"01611766000764","E","Hirsch (O. N.) ","Hirsch (O. N.) Elementary",67,"Fremont Unified",248,"Alameda",1,,100,734,749,3,-15,"No","No","No","No",22,10,,19,26,29,,95,6,12,32,37,13,3.39000010490417,81,19,297,266,30.97,6194 +"37679916037683","E","Lexington Eleme","Lexington Elementary",4275,"Cajon Valley Union Elem",98,"San Diego",36,,98,665,592,10,73,"Yes","Yes","Yes","Yes",77,18,,29,19,33,,65,16,35,34,12,4,2.52999997138977,100,10,343,293,30.97,6194 +"37683383731585","H","Crawford Senior","Crawford Senior High",4466,"San Diego City Unified",630,"San Diego",36,,100,541,537,13,4,"No","No","No","No",90,50,,12,,,,74,41,24,21,12,3,2.11999988555908,94,4,1067,956,30.97,6194 +"56737596055933","E","Conejo Elementa","Conejo Elementary",6114,"Conejo Valley Unified",154,"Ventura",55,,99,642,560,12,82,"Yes","Yes","Yes","Yes",45,36,,15,19,27,,96,22,26,21,24,7,2.6800000667572,100,0,348,301,30.97,6194 +"19645681932144","H","Crescenta Valle","Crescenta Valley Senior High",1351,"Glendale Unified",266,"Los Angeles",18,,99,758,759,2,-1,"No","No","No","No",10,12,,10,,,28,91,3,11,28,32,27,3.70000004768372,89,11,1678,1563,30.97,6194 +"01612596111660","M","Oakland Charter","Oakland Charter Academy",230,"Oakland Unified",507,"Alameda",1,,100,425,413,19,12,"No","No","No","No",0,89,,4,,24,26,84,61,26,12,1,0,1.53999996185303,33,42,161,160,30.97,6194 +"21654176058614","M","Sinaloa Middle","Sinaloa Middle",2601,"Novato Unified",499,"Marin",20,,99,878,874,,4,"Yes","Yes","Yes","Yes",4,2,,3,,28,28,98,2,4,23,42,30,3.95000004768372,100,0,767,735,30.97,6194 +"43696746048797","E","Bowers Elementa","Bowers Elementary",5394,"Santa Clara Unified",656,"Santa Clara",42,,99,691,682,6,9,"Yes","No","No","No",39,26,,12,19,30,,91,9,29,28,26,8,2.95000004768372,96,0,319,283,30.97,6194 +"19642876011464","E","Heath (Margaret","Heath (Margaret) Elementary",1175,"Baldwin Park Unified",42,"Los Angeles",18,,100,558,515,14,43,"Yes","Yes","Yes","Yes",83,54,,10,21,31,,0,0,0,0,0,0,,68,36,393,381,30.97,6194 +"15635291530252","H","Arvin High","Arvin High",959,"Kern Union High",334,"Kern",14,,97,424,409,20,15,"No","No","No","No",72,42,,5,,,27,87,64,19,10,6,1,1.60000002384186,92,25,1656,968,30.97,6194 +"33669933330479","H","Beaumont Senior","Beaumont Senior High",3358,"Beaumont Unified",52,"Riverside",32,,99,641,612,9,29,"Yes","Yes","Yes","Yes",35,2,,24,,,27,95,14,30,32,16,8,2.74000000953674,90,10,626,479,30.97,6194 +"19649076058523","M","Simons Middle","Simons Middle",2285,"Pomona Unified",570,"Los Angeles",18,,100,462,470,17,-8,"No","No","No","No",87,63,,28,,31,31,84,71,16,8,5,0,1.49000000953674,69,31,1214,992,30.97,6194 +"19649316022164","E","Shuey (Emma W.)","Shuey (Emma W.) Elementary",2295,"Rosemead Elementary",613,"Los Angeles",18,,100,749,724,4,25,"Yes","Yes","Yes","Yes",66,25,,12,21,29,,86,33,55,0,10,2,1.92999994754791,78,25,461,395,30.97,6194 +"30665066028054","E","Golden Hill Ele","Golden Hill Elementary",2945,"Fullerton Elementary",255,"Orange",29,,100,715,682,6,33,"Yes","Yes","Yes","Yes",34,27,,15,23,30,,93,16,17,25,24,18,3.10999989509583,93,7,489,439,30.97,6194 +"27754406105472","E","Gabilan Element","Gabilan Elementary",2805,"Soledad Unified",693,"Monterey",26,,100,498,425,19,73,"Yes","Yes","Yes","Yes",87,63,,25,20,30,,88,42,27,21,8,2,2.01999998092651,72,9,664,494,30.97,6194 +"51714646067268","E","Butte Vista Ele","Butte Vista Elementary",5836,"Yuba City Unified",832,"Sutter",50,,99,744,722,4,22,"Yes","Yes","Yes","Yes",21,4,,29,18,28,,76,6,17,22,39,16,3.40000009536743,88,6,225,159,30.97,6194 +"34673636059224","M","Don Julio Junio","Don Julio Junior High",3682,"Grant Joint Union High",275,"Sacramento",33,,90,564,532,13,32,"Yes","No","No","No",52,4,,5,,,26,89,14,35,29,20,1,2.58999991416931,78,23,740,288,30.97,6194 +"07617966004907","E","Peres Elementar","Peres Elementary",483,"West Contra Costa Unified",796,"Contra Costa",6,,98,448,391,20,57,"Yes","Yes","Yes","Yes",93,34,,24,20,33,,89,34,54,11,1,0,1.78999996185303,72,13,453,385,30.97,6194 +"36678506059448","M","Frisbie Middle","Frisbie Middle",4105,"Rialto Unified",590,"San Bernardino",35,,99,496,479,16,17,"Yes","No","No","No",69,25,,26,,32,30,0,0,0,0,0,0,,84,18,1293,1035,30.97,6194 +"01612426068266","M","Alvarado Middle","Alvarado Middle",150,"New Haven Unified",484,"Alameda",1,,100,744,708,5,36,"Yes","Yes","Yes","Yes",20,17,,0,,29,29,87,5,12,30,37,16,3.46000003814697,100,0,1042,887,30.97,6194 +"50711006112627","E","Hickman Charter","Hickman Charter (Alt)",5745,"Hickman Elementary",301,"Stanislaus",49,,100,725,737,3,-12,"No","No","No","No",0,0,,41,30,30,,83,1,14,30,35,21,3.61999988555908,83,17,431,253,30.97,6194 +"30664646027619","E","Hanson (Ole) El","Hanson (Ole) Elementary",2883,"Capistrano Unified",108,"Orange",29,,99,762,742,3,20,"Yes","Yes","Yes","Yes",20,10,,15,18,22,,93,11,23,21,31,13,3.10999989509583,100,0,354,322,30.97,6194 +"39686766042808","E","Victory Element","Victory Elementary",4882,"Stockton City Unified",716,"San Joaquin",38,,99,542,525,14,17,"Yes","Yes","Yes","Yes",76,20,,26,20,33,,99,41,42,13,5,0,1.82000005245209,92,8,558,490,30.97,6194 +"54719106054043","E","Lincoln Element","Lincoln Elementary",5873,"Exeter Union Elementary",226,"Tulare",53,,98,693,504,15,189,"Yes","Yes","Yes","Yes",50,18,,9,18,,,93,28,23,27,14,8,2.50999999046326,91,9,196,177,30.97,6194 +"33670586031975","E","Kennedy (John F","Kennedy (John F.) Elementary",3395,"Desert Sands Unified",180,"Riverside",32,,98,553,542,13,11,"No","No","No","No",72,31,,10,20,31,,99,31,31,29,6,4,2.22000002861023,94,6,413,364,30.97,6194 +"19648086020630","E","Potrero Heights","Potrero Heights Elementary",2125,"Montebello Unified",457,"Los Angeles",18,,100,704,651,7,53,"Yes","Yes","Yes","Yes",50,27,,12,19,29,,86,7,24,36,28,6,3,79,13,247,225,30.97,6194 +"20652436024038","E","Ripperdan Eleme","Ripperdan Elementary",2564,"Madera Unified",415,"Madera",19,,100,474,476,16,-2,"No","No","No","No",95,68,,33,20,33,,73,59,30,9,2,0,1.52999997138977,73,27,176,162,30.97,6194 +"48705654838801","H","Vanden High","Vanden High",5594,"Travis Unified",747,"Solano",47,,100,720,707,5,13,"Yes","Yes","Yes","Yes",9,0,,11,,,27,88,2,16,34,35,13,3.42000007629395,89,11,1018,656,30.97,6194 +"27660926058713","M","Los Arboles Mid","Los Arboles Middle",2765,"Monterey Peninsula Unif.",459,"Monterey",26,,100,665,639,8,26,"Yes","No","No","No",35,15,,12,,29,28,77,48,6,39,6,2,2.08999991416931,97,9,702,620,30.97,6194 +"30665066028070","M","Ladera Vista Ju","Ladera Vista Junior High",2947,"Fullerton Elementary",255,"Orange",29,,100,720,700,5,20,"Yes","Yes","Yes","Yes",33,12,,12,,,27,92,14,19,24,26,18,3.13000011444092,94,6,728,618,30.97,6194 +"07617546004311","E","Strandwood Elem","Strandwood Elementary",424,"Mt. Diablo Unified",473,"Contra Costa",6,,97,827,748,3,79,"Yes","Yes","Yes","Yes",9,3,,13,20,33,,92,1,10,24,34,31,3.82999992370605,95,5,290,257,30.97,6194 +"50755496052575","E","Hughson Element","Hughson Elementary",5806,"Hughson Unified",310,"Stanislaus",49,,100,743,703,5,40,"Yes","Yes","Yes","Yes",51,19,"No",13,19,29,,88,22,35,24,10,8,2.47000002861023,97,3,439,385,30.97,6194 +"10621666057327","M","Kings Canyon Mi","Kings Canyon Middle",677,"Fresno Unified",253,"Fresno",9,,96,485,478,16,7,"No","No","No","No",85,40,,20,,,27,71,36,24,20,17,3,2.25999999046326,94,25,1029,911,30.97,6194 +"31667876031033","M","Cain (E.V.) Mid","Cain (E.V.) Middle",3271,"Auburn Union Elementary",39,"Placer",30,,100,759,760,2,-1,"No","No","No","No",24,2,,18,,,26,94,4,16,32,31,17,3.41000008583069,100,4,554,470,30.97,6194 +"18641966109748","E","Meadow View Ele","Meadow View Elementary",1101,"Susanville Elementary",728,"Lassen",17,,100,752,703,5,49,"Yes","Yes","Yes","Yes",32,0,,20,18,27,,91,4,18,41,25,12,3.24000000953674,96,0,316,275,30.97,6194 +"19645016013213","E","Mulhall Element","Mulhall Elementary",1321,"El Monte City Elementary",203,"Los Angeles",18,,95,528,432,18,96,"Yes","Yes","Yes","Yes",88,57,,15,22,25,,93,58,32,7,2,1,1.57000005245209,86,18,310,255,30.97,6194 +"07616556070981","E","Garin Elementar","Garin Elementary",368,"Brentwood Union Elem.",80,"Contra Costa",6,,99,670,643,8,27,"Yes","No","No","No",32,14,,17,19,29,,100,11,22,34,27,6,2.97000002861023,94,9,393,322,30.97,6194 +"07617966004758","E","Fairmont Elemen","Fairmont Elementary",470,"West Contra Costa Unified",796,"Contra Costa",6,,94,598,570,12,28,"Yes","Yes","Yes","No",60,16,,24,19,30,,99,7,48,22,18,5,2.67000007629395,91,4,344,281,30.97,6194 +"42692296068902","E","Miguelito Eleme","Miguelito Elementary",5139,"Lompoc Unified",393,"Santa Barbara",41,,100,675,637,8,38,"Yes","Yes","Yes","Yes",42,10,,15,19,28,,91,10,22,45,18,5,2.86999988555908,97,7,373,338,30.97,6194 +"36678766036867","E","Del Rosa Elemen","Del Rosa Elementary",4138,"San Bernardino City Unif",627,"San Bernardino",35,,92,603,572,11,31,"Yes","Yes","Yes","No",73,12,"No",23,20,32,,84,22,32,29,11,5,2.46000003814697,89,9,708,610,30.97,6194 +"41689996044374","E","Menlo Oaks Elem","Menlo Oaks Elementary",5018,"Ravenswood City Elem",579,"San Mateo",40,,100,512,512,14,0,"No","No","No","No",100,22,,31,,28,26,92,43,22,16,15,3,2.11999988555908,57,43,262,216,30.97,6194 +"19646346014468","E","Freeman (Daniel","Freeman (Daniel) Elementary",1401,"Inglewood Unified",315,"Los Angeles",18,,100,728,629,9,99,"Yes","Yes","Yes","Yes",61,3,,24,19,28,,88,1,31,42,23,3,2.96000003814697,48,48,333,239,30.97,6194 +"07618046005136","E","Rancho Romero E","Rancho Romero Elementary",516,"San Ramon Valley Unified",650,"Contra Costa",6,,100,906,888,,18,"Yes","Yes","Yes","Yes",1,1,,7,19,29,,67,0,1,8,42,49,4.38000011444092,97,6,351,334,30.97,6194 +"36678923636487","H","Trona High","Trona High",4176,"Trona Joint Unified",750,"San Bernardino",35,,100,588,547,13,41,"Yes","Yes","Yes","Yes",51,1,,2,,,24,92,22,41,34,3,1,2.20000004768372,100,0,166,141,30.97,6194 +"19645016013239","E","Norwood Element","Norwood Elementary",1323,"El Monte City Elementary",203,"Los Angeles",18,,100,591,531,13,60,"Yes","Yes","Yes","Yes",82,50,,16,19,27,,93,43,25,18,11,4,2.0699999332428,76,14,314,277,30.97,6194 +"43695756047823","E","Latimer Element","Latimer Elementary",5288,"Moreland Elementary",462,"Santa Clara",42,,99,796,765,2,31,"Yes","Yes","Yes","Yes",23,15,,17,19,28,,97,11,19,34,25,11,3.05999994277954,96,4,324,269,30.97,6194 +"41688586043392","E","Bayshore Elemen","Bayshore Elementary",4948,"Bayshore Elementary",49,"San Mateo",40,,100,722,629,9,93,"Yes","Yes","Yes","Yes",57,11,,13,22,24,,97,19,46,24,11,1,2.28999996185303,94,6,131,111,30.97,6194 +"33671246107890","E","Bear Valley Ele","Bear Valley Elementary",3466,"Moreno Valley Unified",463,"Riverside",32,,99,579,519,14,60,"Yes","Yes","Yes","Yes",67,24,,28,19,31,,96,16,30,36,13,5,2.60999989509583,85,10,531,428,30.97,6194 +"37681223732179","H","Fallbrook High","Fallbrook High",4370,"Fallbrook Union High",232,"San Diego",36,,98,657,651,7,6,"No","No","No","No",29,18,,12,,,28,92,20,13,23,33,12,3.02999997138977,96,6,1888,988,30.97,6194 +"33671736115448","E","Two Bunch Palms","Two Bunch Palms Elementary",3498,"Palm Springs Unified",531,"Riverside",32,,100,474,436,18,38,"Yes","Yes","Yes","Yes",75,41,,27,21,28,,43,44,24,22,8,2,1.99000000953674,82,45,433,378,30.97,6194 +"39685856104038","E","Creekside Eleme","Creekside Elementary",4824,"Lodi Unified",390,"San Joaquin",38,,99,573,584,11,-11,"No","No","No","No",46,19,"No",25,20,30,,87,14,23,41,16,7,2.77999997138977,90,12,615,467,30.97,6194 +"15635291530435","H","Kern Workforce ","Kern Workforce 2000 Academy (Charter)",963,"Kern Union High",334,"Kern",14,,90,348,347,23,1,"No","No","No","No",10,16,,67,,,,71,38,34,15,11,2,2.03999996185303,,,475,196,30.97,6194 +"30665226028807","E","Paine (Thomas) ","Paine (Thomas) Elementary",3022,"Garden Grove Unified",259,"Orange",29,,100,708,641,8,67,"Yes","Yes","Yes","Yes",59,69,,14,21,31,,8,6,47,28,19,0,2.58999991416931,93,7,410,349,30.97,6194 +"47705086050967","E","Gold Street Ele","Gold Street Elementary",5553,"Yreka Union Elementary",830,"Siskiyou",46,,99,699,666,7,33,"Yes","Yes","Yes","Yes",53,3,,30,20,24,,98,12,18,43,19,7,2.91000008583069,100,0,260,216,30.97,6194 +"37683386040174","E","Spreckels Eleme","Spreckels Elementary",4550,"San Diego City Unified",630,"San Diego",36,,100,738,703,5,35,"Yes","Yes","Yes","Yes",48,36,,9,19,29,,76,18,10,13,25,35,3.49000000953674,97,5,474,465,30.97,6194 +"16638916010367","E","Mark Twain Elem","Mark Twain Elementary",1055,"Corcoran Joint Unified",155,"Kings",15,,98,529,478,16,51,"Yes","Yes","Yes","Yes",74,9,,5,,28,,93,26,35,25,11,3,2.30999994277954,95,0,473,397,30.97,6194 +"21654176024525","E","Lynwood Element","Lynwood Elementary",2594,"Novato Unified",499,"Marin",20,,96,757,772,1,-15,"No","No","No","No",42,20,,25,19,28,,90,13,18,22,19,27,3.29999995231628,100,0,297,237,30.97,6194 +"45701364532750","H","Enterprise High","Enterprise High",5531,"Shasta Union High",683,"Shasta",44,,98,674,676,6,-2,"No","No","No","No",21,0,,13,,,26,89,7,17,34,28,14,3.24000000953674,100,0,996,548,30.97,6194 +"50711676107023","E","Martone (Albert","Martone (Alberta) Elementary",5761,"Modesto City Elementary",449,"Stanislaus",49,,99,741,738,3,3,"Yes","No","No","No",49,9,"No",22,22,31,,85,13,24,40,14,10,2.82999992370605,100,0,644,517,30.97,6194 +"57726946056352","E","Elkhorn Village","Elkhorn Village Elementary",6157,"Washington Unified",787,"Yolo",56,,100,475,411,19,64,"Yes","Yes","Yes","Yes",90,43,,25,23,26,,100,54,31,13,3,0,1.63999998569489,90,3,393,368,30.97,6194 +"33670903337136","H","Rubidoux High","Rubidoux High",3425,"Jurupa Unified",328,"Riverside",32,,91,533,527,14,6,"No","No","No","No",37,8,,14,,,29,85,25,22,30,19,4,2.55999994277954,85,13,1780,1461,30.97,6194 +"10621666111231","E","Anthony (Susan ","Anthony (Susan B.) Elementary",698,"Fresno Unified",253,"Fresno",9,,99,427,443,18,-16,"No","No","No","No",100,59,"No",28,19,27,,93,59,27,9,5,1,1.61000001430511,95,12,594,533,30.97,6194 +"36675876035174","E","Adelanto Elemen","Adelanto Elementary",3895,"Adelanto Elementary",5,"San Bernardino",35,,98,536,464,17,72,"Yes","Yes","Yes","Yes",97,38,,31,19,25,,76,50,21,23,5,2,1.87000000476837,86,14,334,246,30.97,6194 +"43696746048870","E","Mayne (George) ","Mayne (George) Elementary",5399,"Santa Clara Unified",656,"Santa Clara",42,,99,504,490,16,14,"No","No","No","No",59,42,,13,19,30,,89,24,38,24,12,2,2.30999994277954,93,4,275,246,30.97,6194 +"42692606045785","M","Orcutt Junior H","Orcutt Junior High",5147,"Orcutt Union Elementary",519,"Santa Barbara",41,,100,771,758,2,13,"Yes","Yes","Yes","Yes",21,3,,7,,,25,70,3,12,48,20,17,3.38000011444092,97,3,603,537,30.97,6194 +"19647336100069","E","Balboa Gifted/H","Balboa Gifted/High Ability Magnet Elemen",2078,"Los Angeles Unified",401,"Los Angeles",18,,100,965,952,,13,"Yes","Yes","Yes","Yes",15,1,,21,19,32,,99,0,9,12,45,34,4.03999996185303,100,0,590,572,30.97,6194 +"19647336018808","E","Purche Avenue E","Purche Avenue Elementary",1877,"Los Angeles Unified",401,"Los Angeles",18,,99,559,497,15,62,"Yes","Yes","Yes","Yes",78,8,,19,18,30,,29,2,25,29,40,5,3.22000002861023,77,29,451,400,30.97,6194 +"43694844332839","H","Gilroy High","Gilroy High",5253,"Gilroy Unified",265,"Santa Clara",42,,93,590,602,10,-12,"No","No","No","No",26,22,,10,,,29,90,21,19,25,25,9,2.8199999332428,78,18,1732,1455,30.97,6194 +"19753416022156","E","Washington Elem","Washington Elementary",2543,"Redondo Beach Unified",585,"Los Angeles",18,,100,745,615,9,130,"Yes","Yes","Yes","Yes",41,20,,16,19,30,,81,11,26,32,16,16,2.99000000953674,100,3,391,313,30.97,6194 +"05615806111884","M","Avery Middle","Avery Middle",347,"Vallecito Union Elem",769,"Calaveras",4,,99,790,775,1,15,"Yes","No","No","No",22,0,,10,,26,26,76,4,18,35,28,16,3.33999991416931,100,0,419,352,30.97,6194 +"19648656021356","E","Soleado Element","Soleado Elementary",2214,"Palos Verdes Penin. Unif.",536,"Los Angeles",18,,100,915,885,,30,"Yes","Yes","Yes","Yes",3,20,,16,17,34,,48,0,1,4,35,60,4.53999996185303,90,10,274,231,30.97,6194 +"56726035636188","H","Simi Valley Hig","Simi Valley High",6056,"Simi Valley Unified",689,"Ventura",55,,98,734,751,2,-17,"No","No","No","No",8,3,,6,,,31,1,7,21,21,43,7,3.21000003814697,98,1,1589,1490,30.97,6194 +"43696256067243","E","Santa Teresa El","Santa Teresa Elementary",5324,"Oak Grove Elementary",501,"Santa Clara",42,,96,787,756,2,31,"Yes","No","No","No",20,16,,21,20,31,,93,8,21,25,34,13,3.23000001907349,71,18,348,271,30.97,6194 +"30666476097018","E","Tynes (John O.)","Tynes (John O.) Elementary",3111,"Placentia-Yorba Linda",556,"Orange",29,,100,579,553,12,26,"Yes","Yes","Yes","Yes",70,51,,16,20,31,,0,0,0,100,0,0,3,100,3,712,637,30.97,6194 +"36750696037238","E","Foothill Knolls","Foothill Knolls Elementary",4236,"Upland Unified",763,"San Bernardino",35,,100,737,664,7,73,"Yes","Yes","Yes","Yes",36,6,,18,20,30,,94,9,26,35,18,11,2.96000003814697,100,0,387,290,30.97,6194 +"01611766000640","E","Green (Harvey) ","Green (Harvey) Elementary",59,"Fremont Unified",248,"Alameda",1,,100,719,702,5,17,"Yes","No","No","No",24,6,,22,21,30,,98,13,33,25,20,8,2.78999996185303,90,10,361,296,30.97,6194 +"36750696037253","M","Pioneer Junior ","Pioneer Junior High",4238,"Upland Unified",763,"San Bernardino",35,,99,794,776,1,18,"Yes","Yes","Yes","Yes",7,2,,10,,,33,97,2,11,27,37,22,3.67000007629395,86,14,943,837,30.97,6194 +"01611926113815","E","Hayward Project","Hayward Project Elem",117,"Hayward Unified",294,"Alameda",1,,97,596,578,11,18,"Yes","No","No","No",53,6,,47,21,25,,91,3,32,31,25,8,3.04999995231628,50,13,132,113,30.97,6194 +"19647336097927","E","Open Magnet: Ce","Open Magnet: Center for Individual (Char",2077,"Los Angeles Unified",401,"Los Angeles",18,,99,840,816,,24,"Yes","No","No","No",33,25,,11,20,29,,0,0,0,0,0,0,,100,0,276,241,30.97,6194 +"43695186047492","E","Santa Rita Elem","Santa Rita Elementary",5272,"Los Altos Elementary",399,"Santa Clara",42,,99,952,926,,26,"Yes","Yes","Yes","Yes",3,7,,13,19,27,,97,1,2,9,27,61,4.44999980926514,96,4,351,292,30.97,6194 +"28662666026769","E","Alta Heights El","Alta Heights Elementary",2813,"Napa Valley Unified",478,"Napa",27,,100,794,760,2,34,"Yes","Yes","Yes","Yes",20,3,,9,19,31,,89,5,19,36,27,14,3.25999999046326,100,3,372,355,30.97,6194 +"07617136003792","E","Springhill Elem","Springhill Elementary",382,"Lafayette Elementary",352,"Contra Costa",6,,100,905,885,,20,"Yes","Yes","Yes","Yes",0,1,,12,20,28,,93,0,1,8,51,40,4.30999994277954,100,0,368,313,30.97,6194 +"28662666058796","M","Silverado Middl","Silverado Middle",2831,"Napa Valley Unified",478,"Napa",27,,98,660,622,9,38,"Yes","No","No","No",36,8,,15,,,27,96,22,19,26,21,11,2.78999996185303,94,6,895,783,30.97,6194 +"34674393431012","H","Burbank (Luther","Burbank (Luther) High",3729,"Sacramento City Unified",620,"Sacramento",33,,92,497,463,17,34,"Yes","Yes","Yes","Yes",53,42,,18,,,28,48,34,27,23,14,2,2.24000000953674,98,11,1632,1209,30.97,6194 +"19647336019921","E","Westport Height","Westport Heights Elementary",1984,"Los Angeles Unified",401,"Los Angeles",18,,100,666,641,8,25,"Yes","Yes","Yes","Yes",59,23,,16,18,26,,55,6,23,27,42,2,3.10999989509583,75,9,414,369,30.97,6194 +"39685446110373","E","Monticello Elem","Monticello Elementary",4790,"Jefferson Elementary",322,"San Joaquin",38,,100,801,750,3,51,"Yes","Yes","Yes","Yes",10,2,,22,16,,,99,2,10,39,31,17,3.50999999046326,97,7,226,166,30.97,6194 +"19752916022487","E","Wilson Elementa","Wilson Elementary",2521,"San Gabriel Unified",633,"Los Angeles",18,,98,765,778,1,-13,"No","No","No","No",26,21,,14,19,29,,86,4,26,12,54,4,3.26999998092651,86,14,232,188,30.97,6194 +"34674476034763","E","Sunrise Element","Sunrise Elementary",3847,"San Juan Unified",636,"Sacramento",33,,99,722,698,5,24,"Yes","No","No","No",45,4,,26,20,37,,93,10,67,14,6,3,2.25999999046326,94,0,267,224,30.97,6194 +"07617546003966","E","Bancroft Elemen","Bancroft Elementary",402,"Mt. Diablo Unified",473,"Contra Costa",6,,100,893,845,,48,"Yes","Yes","Yes","Yes",7,4,,16,20,30,,84,0,3,14,39,43,4.21999979019165,93,4,382,312,30.97,6194 +"45700526050405","E","Millville Eleme","Millville Elementary",5526,"Millville Elementary",447,"Shasta",44,,100,834,752,2,82,"Yes","Yes","Yes","Yes",41,0,,17,18,29,31,97,4,26,29,29,12,3.20000004768372,100,0,173,117,30.97,6194 +"10621666006159","E","Columbia Elemen","Columbia Elementary",637,"Fresno Unified",253,"Fresno",9,,100,447,409,20,38,"Yes","Yes","Yes","Yes",100,51,,22,20,29,,84,61,19,15,4,2,1.66999995708466,100,7,396,344,30.97,6194 +"39686763937406","H","Stagg Senior Hi","Stagg Senior High",4858,"Stockton City Unified",716,"San Joaquin",38,,97,582,551,12,31,"Yes","No","No","No",36,14,,10,,,30,94,34,19,26,17,3,2.35999989509583,89,10,2106,1701,30.97,6194 +"16739326010565","E","Avenal Elementa","Avenal Elementary",1068,"Reef-Sunset Unified",588,"Kings",15,,100,410,372,21,38,"Yes","Yes","Yes","Yes",100,65,,30,18,29,,81,56,24,16,3,2,1.72000002861023,65,37,581,524,30.97,6194 +"56726036084925","M","Hillside Middle","Hillside Middle",6078,"Simi Valley Unified",689,"Ventura",55,,99,728,704,5,24,"Yes","Yes","Yes","Yes",16,5,,41,,31,34,0,0,0,0,0,0,,100,0,1125,1058,30.97,6194 +"34674396034276","E","Sutterville Ele","Sutterville Elementary",3774,"Sacramento City Unified",620,"Sacramento",33,,99,818,790,1,28,"Yes","Yes","Yes","Yes",28,15,,18,22,32,,70,4,13,22,33,28,3.6800000667572,100,4,351,323,30.97,6194 +"19648656021257","M","Palos Verdes In","Palos Verdes Intermediate",2206,"Palos Verdes Penin. Unif.",536,"Los Angeles",18,,100,905,885,,20,"Yes","Yes","Yes","Yes",2,9,,8,,33,30,56,0,1,3,30,66,4.59999990463257,90,10,1168,1072,30.97,6194 +"36738906104681","M","Fort Irwin Midd","Fort Irwin Middle",4205,"Silver Valley Unified",688,"San Bernardino",35,,100,698,675,6,23,"Yes","Yes","Yes","Yes",26,1,,58,,27,20,79,1,11,42,35,11,3.4300000667572,53,47,639,267,30.97,6194 +"36676786035588","E","Walnut Avenue E","Walnut Avenue Elementary",3949,"Chino Valley Unified",131,"San Bernardino",35,,98,644,593,10,51,"Yes","Yes","Yes","Yes",52,23,"No",23,20,31,,71,21,29,32,15,4,2.52999997138977,84,14,659,533,30.97,6194 +"10622651035310","H","Reedley High","Reedley High",708,"Kings Canyon Unified",339,"Fresno",9,,98,577,553,12,24,"Yes","Yes","Yes","Yes",62,24,,4,,,27,1,46,15,23,15,0,2.07999992370605,88,10,1418,1022,30.97,6194 +"01612426001622","E","Searles Element","Searles Elementary",148,"New Haven Unified",484,"Alameda",1,,100,677,649,8,28,"Yes","No","No","No",40,31,,13,20,29,,97,20,25,28,17,10,2.71000003814697,100,0,716,615,30.97,6194 +"01612596001853","E","Glenview Elemen","Glenview Elementary",177,"Oakland Unified",507,"Alameda",1,,97,633,618,9,15,"Yes","No","No","No",60,32,,9,20,31,,54,11,19,37,20,13,3.05999994277954,96,4,276,247,30.97,6194 +"20652436023980","E","Madison Element","Madison Elementary",2559,"Madera Unified",415,"Madera",19,,100,479,397,20,82,"Yes","Yes","Yes","Yes",92,45,"No",26,20,36,,99,53,39,7,1,0,1.55999994277954,88,20,318,274,30.97,6194 +"30666476029995","E","Brookhaven Elem","Brookhaven Elementary",3091,"Placentia-Yorba Linda",556,"Orange",29,,100,852,829,,23,"Yes","Yes","Yes","Yes",4,1,,8,20,35,,1,0,0,0,33,67,4.67000007629395,100,0,344,310,30.97,6194 +"19649071937028","H","Pomona Senior H","Pomona Senior High",2261,"Pomona Unified",570,"Los Angeles",18,,98,509,483,16,26,"Yes","Yes","Yes","Yes",68,40,,18,,,29,85,42,24,20,11,2,2.07999992370605,74,26,1264,991,30.97,6194 +"01612596002216","E","Thornhill Eleme","Thornhill Elementary",208,"Oakland Unified",507,"Alameda",1,,96,884,867,,17,"Yes","No","No","No",6,8,,8,19,29,,94,2,5,13,25,55,4.26000022888184,100,0,227,185,30.97,6194 +"56725536055396","E","Camarillo Heigh","Camarillo Heights Elementary",6027,"Pleasant Valley Elem",564,"Ventura",55,,99,813,785,1,28,"Yes","Yes","Yes","Yes",7,2,,17,20,31,,99,2,8,27,59,4,3.53999996185303,95,5,346,314,30.97,6194 +"19650606023287","E","Victor Elementa","Victor Elementary",2366,"Torrance Unified",744,"Los Angeles",18,,99,813,748,3,65,"Yes","Yes","Yes","Yes",21,31,,23,18,34,,95,3,15,26,33,23,3.58999991416931,92,12,682,495,30.97,6194 +"38684786072052","M","Potrero Hill Mi","Potrero Hill Middle",4773,"San Francisco Unified",632,"San Francisco",37,,83,482,472,16,10,"No","No","No","No",60,31,,11,,14,17,76,13,42,23,20,2,2.55999994277954,80,10,453,316,30.97,6194 +"17640556105456","E","Cobb Mountain E","Cobb Mountain Elementary",1088,"Middletown Unified",444,"Lake",16,,89,804,775,1,29,"Yes","Yes","Yes","No",28,0,,23,22,30,,83,6,35,29,20,10,2.92000007629395,100,0,207,147,30.97,6194 +"27659956026082","E","Chualar Element","Chualar Elementary",2739,"Chualar Union Elementary",134,"Monterey",26,,100,447,404,20,43,"Yes","Yes","Yes","Yes",97,82,,12,19,26,,55,58,20,11,7,4,1.78999996185303,72,0,217,189,30.97,6194 +"33752426111033","M","Vista Verde Mid","Vista Verde Middle",3606,"Val Verde Unified",767,"Riverside",32,,98,630,628,9,2,"No","No","No","No",44,8,,17,,33,32,97,14,21,38,19,9,2.89000010490417,78,22,1252,965,30.97,6194 +"10752756111553","M","Foothill Middle","Foothill Middle",764,"Sierra Unified",686,"Fresno",9,,100,739,735,3,4,"Yes","No","No","No",37,0,,12,,28,26,84,7,34,25,19,15,3.00999999046326,100,0,446,387,30.97,6194 +"33670826032106","E","Hemet Elementar","Hemet Elementary",3412,"Hemet Unified",298,"Riverside",32,,100,658,634,8,24,"Yes","Yes","Yes","Yes",86,21,"No",25,20,31,,90,32,36,24,6,2,2.09999990463257,90,6,611,486,30.97,6194 +"19734526022388","E","Villacorta Elem","Villacorta Elementary",2497,"Rowland Unified",619,"Los Angeles",18,,100,564,519,14,45,"Yes","Yes","Yes","Yes",81,50,,18,20,28,,55,33,29,24,11,3,2.23000001907349,63,35,596,504,30.97,6194 +"07618046108161","E","Golden View Ele","Golden View Elementary",526,"San Ramon Valley Unified",650,"Contra Costa",6,,100,894,860,,34,"Yes","Yes","Yes","Yes",0,3,,9,20,31,,99,0,4,10,41,45,4.28000020980835,89,11,390,356,30.97,6194 +"36677106114052","E","Date Elementary","Date Elementary",4028,"Fontana Unified",238,"San Bernardino",35,,96,460,429,19,31,"Yes","Yes","Yes","Yes",93,49,"No",23,19,30,,14,51,24,17,8,0,1.83000004291534,76,24,483,409,30.97,6194 +"15634796112783","E","Columbia Elemen","Columbia Elementary",947,"Fruitvale Elementary",254,"Kern",14,,100,787,770,2,17,"Yes","Yes","Yes","Yes",19,1,,20,20,30,,81,1,17,39,27,16,3.39000010490417,92,8,381,310,30.97,6194 +"19734376012389","E","Roosevelt Eleme","Roosevelt Elementary",2434,"Compton Unified",153,"Los Angeles",18,,100,494,485,16,9,"No","No","No","No",97,71,,20,20,32,,46,39,36,13,11,1,1.98000001907349,26,78,933,847,30.97,6194 +"10752756005755","E","Auberry Element","Auberry Elementary",763,"Sierra Unified",686,"Fresno",9,,100,772,698,5,74,"Yes","Yes","Yes","Yes",37,0,,11,19,22,,83,8,34,28,17,14,2.95000004768372,100,0,253,233,30.97,6194 +"33669776031595","M","Wells Intermedi","Wells Intermediate",3352,"Alvord Unified",19,"Riverside",32,,97,537,513,14,24,"Yes","No","No","No",52,37,,20,,,30,91,41,26,24,9,1,2.03999996185303,59,38,841,640,30.97,6194 +"01613096002547","E","Dayton Elementa","Dayton Elementary",253,"San Lorenzo Unified",638,"Alameda",1,,99,676,622,9,54,"Yes","Yes","Yes","Yes",27,26,,17,21,32,,75,12,24,37,23,4,2.8199999332428,100,0,397,325,30.97,6194 +"30664806027866","E","Cawthon (Robert","Cawthon (Robert C.) Elementary",2930,"Cypress Elementary",171,"Orange",29,,100,868,834,,34,"Yes","Yes","Yes","Yes",19,5,,8,20,30,,100,4,17,42,37,0,3.11999988555908,100,0,308,269,30.97,6194 +"38684786041081","E","Golden Gate Ele","Golden Gate Elementary",4721,"San Francisco Unified",632,"San Francisco",37,,91,544,496,15,48,"Yes","Yes","Yes","No",84,54,,7,18,20,,82,35,42,14,6,2,1.98000001907349,58,21,215,190,30.97,6194 +"42691466045314","E","Main Elementary","Main Elementary",5108,"Carpinteria Unified",112,"Santa Barbara",41,,100,740,721,4,19,"Yes","Yes","Yes","Yes",42,29,,9,20,30,,91,22,15,28,22,13,2.88000011444092,94,6,339,307,30.97,6194 +"19642956011589","E","Erwin (Thomas E","Erwin (Thomas E.) Elementary",1187,"Bassett Unified",48,"Los Angeles",18,,100,584,530,14,54,"Yes","Yes","Yes","Yes",82,28,,14,21,34,,1,60,20,0,20,0,1.79999995231628,68,32,532,476,30.97,6194 +"19645926014013","E","York Elementary","York Elementary",1393,"Hawthorne Elementary",293,"Los Angeles",18,,98,548,485,16,63,"Yes","Yes","Yes","Yes",90,58,"No",22,19,27,,90,30,33,28,6,2,2.17000007629395,47,49,574,447,30.97,6194 +"44697996049829","E","Alianza Element","Alianza Elementary",5473,"Pajaro Valley Joint Unif",529,"Santa Cruz",43,,100,382,404,20,-22,"No","Yes","No","No",70,84,,18,19,29,,98,56,24,10,4,5,1.77999997138977,81,14,443,391,30.97,6194 +"37683386039267","E","Boone Elementar","Boone Elementary",4486,"San Diego City Unified",630,"San Diego",36,,99,706,701,5,5,"Yes","No","No","No",62,15,,13,21,28,,87,12,27,27,29,6,2.90000009536743,100,2,645,598,30.97,6194 +"34673146033005","E","Mack (Charles E","Mack (Charles E.) Elementary",3620,"Elk Grove Unified",209,"Sacramento",33,,100,584,527,14,57,"Yes","Yes","Yes","Yes",82,36,"No",30,21,31,,87,23,33,35,7,3,2.33999991416931,91,6,728,607,30.97,6194 +"07617960730291","H","Middle College ","Middle College High",456,"West Contra Costa Unified",796,"Contra Costa",6,,98,754,755,2,-1,"No","No","No","No",21,12,,43,,,23,95,25,18,26,26,6,2.69000005722046,80,20,174,158,30.97,6194 +"19647336019434","E","Tarzana Element","Tarzana Elementary",1936,"Los Angeles Unified",401,"Los Angeles",18,,99,638,531,13,107,"Yes","Yes","Yes","Yes",74,33,,15,18,31,,53,11,30,19,38,2,2.89000010490417,54,50,346,298,30.97,6194 +"37683386112726","E","Dingeman (Rober","Dingeman (Robert E.) Elementary",4596,"San Diego City Unified",630,"San Diego",36,,99,883,864,,19,"Yes","Yes","Yes","Yes",4,3,,9,20,30,,93,1,10,9,52,28,3.98000001907349,97,3,556,526,30.97,6194 +"19647336058093","M","Lawrence (Ernes","Lawrence (Ernest) Middle",2020,"Los Angeles Unified",401,"Los Angeles",18,,98,660,642,8,18,"Yes","No","No","No",52,22,,14,,32,31,71,12,17,25,36,10,3.14000010490417,77,16,1911,1647,30.97,6194 +"43695836095384","M","Britton (Lewis ","Britton (Lewis H.) Middle",5297,"Morgan Hill Unified",464,"Santa Clara",42,,98,708,716,4,-8,"No","No","No","No",20,13,,13,,,29,35,3,12,29,29,28,3.67000007629395,94,6,1135,989,30.97,6194 +"34674396034169","E","Nicholas Elemen","Nicholas Elementary",3764,"Sacramento City Unified",620,"Sacramento",33,,99,607,529,14,78,"Yes","Yes","Yes","Yes",100,41,,29,22,33,,68,33,44,16,7,1,2,100,9,429,357,30.97,6194 +"15635036009559","E","Fairview Elemen","Fairview Elementary",950,"Greenfield Union Elem",278,"Kern",14,,98,544,493,15,51,"Yes","Yes","Yes","Yes",94,15,,19,18,23,,98,67,23,8,1,1,1.44000005722046,94,6,336,279,30.97,6194 +"01611926001069","E","Markham Element","Markham Elementary",101,"Hayward Unified",294,"Alameda",1,,100,607,604,10,3,"No","No","No","No",58,19,,22,19,32,,63,9,24,38,22,7,2.95000004768372,97,6,412,331,30.97,6194 +"30666706099816","E","Greenville Fund","Greenville Fundamental",3145,"Santa Ana Unified",653,"Orange",29,,100,806,815,,-9,"Yes","No","No","No",32,14,,20,21,30,,77,10,24,43,14,9,2.88000011444092,91,9,695,673,30.97,6194 +"33752426108047","E","Victoriano Elem","Victoriano Elementary",3603,"Val Verde Unified",767,"Riverside",32,,95,708,701,5,7,"Yes","No","No","No",44,7,,21,23,29,,99,15,28,34,18,5,2.70000004768372,86,7,457,348,30.97,6194 +"20652436024012","E","La Vina Element","La Vina Elementary",2562,"Madera Unified",415,"Madera",19,,100,487,435,18,52,"Yes","Yes","Yes","Yes",97,86,,18,20,31,,77,84,15,2,0,0,1.17999994754791,93,0,213,186,30.97,6194 +"37683386039630","E","Fulton Elementa","Fulton Elementary",4512,"San Diego City Unified",630,"San Diego",36,,100,682,615,9,67,"Yes","Yes","Yes","Yes",78,16,,19,19,30,,76,11,27,33,23,7,2.85999989509583,84,9,300,284,30.97,6194 +"10621666006217","E","Ericson Element","Ericson Elementary",641,"Fresno Unified",253,"Fresno",9,,99,513,493,15,20,"Yes","No","No","No",88,37,,26,19,28,,64,35,29,24,10,2,2.14000010490417,100,2,551,482,30.97,6194 +"19642126061220","M","Haskell (Pliny ","Haskell (Pliny Fisk) Middle",1121,"ABC Unified",1,"Los Angeles",18,,99,644,613,9,31,"Yes","No","No","No",36,14,,13,,,29,95,16,23,30,23,8,2.82999992370605,86,14,608,485,30.97,6194 +"39686766042782","E","Tyler Skills El","Tyler Skills Elementary",4880,"Stockton City Unified",716,"San Joaquin",38,,99,625,578,11,47,"Yes","Yes","Yes","Yes",59,8,"No",19,19,28,,74,18,44,25,13,1,2.35999989509583,93,5,559,469,30.97,6194 +"15636851531987","H","Desert Junior/S","Desert Junior/Senior High",993,"Muroc Joint Unified",476,"Kern",14,,100,720,704,5,16,"Yes","Yes","Yes","Yes",15,0,,21,,,27,99,0,17,38,34,11,3.38000011444092,79,18,533,417,30.97,6194 +"15635291534775","H","North High","North High",969,"Kern Union High",334,"Kern",14,,97,547,529,14,18,"Yes","No","No","No",38,3,,8,,,26,93,15,31,33,17,4,2.65000009536743,99,11,1467,858,30.97,6194 +"19647336017446","E","Hammel Street E","Hammel Street Elementary",1752,"Los Angeles Unified",401,"Los Angeles",18,,97,467,442,18,25,"Yes","Yes","Yes","Yes",100,70,,16,19,28,,65,52,32,9,6,1,1.73000001907349,77,17,621,528,30.97,6194 +"37683386039143","E","Audubon Element","Audubon Elementary",4480,"San Diego City Unified",630,"San Diego",36,,100,612,528,14,84,"Yes","Yes","Yes","Yes",79,34,,15,20,31,,85,26,31,25,14,4,2.38000011444092,82,7,354,319,30.97,6194 +"36678196036222","E","Edison Elementa","Edison Elementary",4062,"Ontario-Montclair Elem",513,"San Bernardino",35,,100,601,574,11,27,"Yes","Yes","Yes","Yes",65,40,,15,19,30,,96,30,27,27,13,2,2.29999995231628,92,8,338,304,30.97,6194 +"24657716025621","E","Franklin Elemen","Franklin Elementary",2683,"Merced City Elementary",440,"Merced",23,,99,595,581,11,14,"Yes","No","No","No",82,45,"No",17,19,30,,98,29,22,34,13,2,2.36999988555908,91,6,497,461,30.97,6194 diff --git a/data/nhanes.csv b/data/nhanes.csv new file mode 100644 index 00000000..0a74cf6d --- /dev/null +++ b/data/nhanes.csv @@ -0,0 +1,8592 @@ +"SDMVPSU","SDMVSTRA","WTMEC2YR","HI_CHOL","race","agecat","RIAGENDR" +1,83,81528.772006,0,2,"(19,39]",1 +1,84,14509.27886,0,3,"(0,19]",1 +2,86,12041.635365,0,3,"(0,19]",1 +2,75,21000.338724,0,3,"(59,Inf]",2 +1,88,22633.581873,0,1,"(19,39]",1 +2,85,74112.486841,1,2,"(39,59]",2 +2,88,8175.945593,0,1,"(0,19]",1 +1,77,12381.115324,0,2,"(59,Inf]",1 +1,86,10232.612435,0,1,"(0,19]",1 +1,79,22502.506661,0,2,"(59,Inf]",1 +1,88,30213.355865,0,2,"(0,19]",1 +1,81,11890.743758,0,1,"(0,19]",1 +1,79,14981.168834,0,3,"(0,19]",1 +2,88,8432.095877,0,1,"(0,19]",1 +2,75,40755.226149,0,3,"(39,59]",2 +1,75,9590.4584,0,1,"(59,Inf]",1 +1,77,39941.954617,0,2,"(0,19]",1 +2,78,89078.480785,0,2,"(39,59]",2 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+2,87,6932.682394,0,1,"(59,Inf]",1 +1,75,24154.860516,,1,"(19,39]",1 +1,85,35970.964129,0,4,"(0,19]",2 +2,88,9339.458751,,1,"(0,19]",1 +2,75,125317.169771,1,2,"(39,59]",2 +2,89,10398.717828,0,1,"(39,59]",2 +1,86,16060.447124,,3,"(0,19]",2 +2,80,78710.236967,0,2,"(39,59]",1 +2,78,33211.444479,0,1,"(19,39]",1 +2,78,42613.475824,0,4,"(59,Inf]",2 +1,81,13021.335041,0,1,"(39,59]",2 +1,86,17275.32873,0,3,"(0,19]",2 +1,82,41129.28945,,2,"(0,19]",2 +1,79,29634.542904,0,3,"(19,39]",1 +2,77,15009.934467,0,1,"(39,59]",2 +2,86,9355.312779,0,1,"(0,19]",2 +1,79,86979.271892,0,2,"(19,39]",1 +1,86,15328.192224,0,4,"(0,19]",1 +2,87,15883.38722,0,3,"(59,Inf]",2 +2,86,27139.770866,0,3,"(19,39]",2 +2,84,13738.636583,,2,"(39,59]",1 +2,79,12082.673342,0,1,"(0,19]",1 +2,75,67037.944217,0,4,"(59,Inf]",1 +1,77,37058.064768,0,2,"(59,Inf]",2 +1,75,17700.594357,,1,"(0,19]",1 +1,79,90382.442658,0,2,"(39,59]",1 +2,86,11822.128672,0,1,"(39,59]",1 +1,88,27598.304309,0,3,"(39,59]",2 +2,79,108051.677139,0,2,"(19,39]",1 +2,85,6304.341968,0,1,"(59,Inf]",2 +1,87,26032.873284,0,2,"(59,Inf]",2 +1,75,15661.814696,0,1,"(59,Inf]",1 +2,78,25247.94746,0,1,"(19,39]",2 +2,78,31839.955383,0,1,"(19,39]",1 +1,79,63837.745058,0,2,"(19,39]",1 +1,79,27781.886926,0,2,"(19,39]",2 +1,83,32132.914822,0,2,"(19,39]",2 +2,75,85700.159432,1,2,"(39,59]",1 +2,78,88087.54939,0,2,"(39,59]",2 +1,78,18926.031583,0,1,"(19,39]",2 +2,85,8941.765899,0,1,"(0,19]",1 +2,79,18933.585436,1,2,"(39,59]",1 +1,88,51462.911548,0,4,"(0,19]",2 +2,80,19425.778521,,3,"(59,Inf]",2 +1,85,60234.151229,,2,"(59,Inf]",2 +2,84,16276.595315,0,3,"(0,19]",2 +2,84,11271.805266,0,3,"(0,19]",1 +1,89,12664.205092,0,3,"(39,59]",1 +2,84,20032.363351,0,3,"(19,39]",1 +1,78,9837.532564,,1,"(0,19]",1 +1,89,18147.496374,0,1,"(19,39]",1 +2,80,21081.607689,1,2,"(39,59]",2 +1,84,23575.36027,0,1,"(19,39]",1 +2,81,12958.019442,0,3,"(59,Inf]",1 +2,81,6443.674009,0,1,"(59,Inf]",2 diff --git a/data/stat_method_tbl.csv b/data/stat_method_tbl.csv index bd2178c5..f842983e 100644 --- a/data/stat_method_tbl.csv +++ b/data/stat_method_tbl.csv @@ -46,7 +46,7 @@ Multivariate methods,Factor analysis,,,, Multivariate methods,PCA,[R](R/PCA_analysis),,, Multivariate methods,Canonical correlation,,,, Multivariate methods,PLS,,,, -Other Methods,Survey statistics,[R](R/survey-stats-summary),[SAS](SAS/survey-stats-summary),,[R vs SAS](Comp/r-sas_survey-stats-summary) +Other Methods,Survey statistics,[R](R/survey-stats-summary),[SAS](SAS/survey-stats-summary),[Python](python/survey-stats-summary),[R vs SAS vs Python](Comp/r-sas-python_survey-stats-summary) Other Methods,Nearest neighbour,,,, Other Methods,Causal inference,,,, Other Methods,Machine learning,,,, diff --git a/python/survey-stats-summary.qmd b/python/survey-stats-summary.qmd new file mode 100644 index 00000000..9bac4387 --- /dev/null +++ b/python/survey-stats-summary.qmd @@ -0,0 +1,162 @@ +--- +title: "Survey Summary Statistics using Python" +bibliography: ../Comp/survey-stats-summary.bib +--- + +When conducting large-scale trials on samples of the population, it can be necessary to use a more complex sampling design than a simple random sample. + +- **Weighting** – If smaller populations are sampled more heavily to increase precision, then it is necessary to weight these observations in the analysis. + +- **Finite population correction** – Larger samples of populations result in lower variability in comparison to smaller samples. + +- **Stratification** – Dividing a population into sub-groups and sampling from each group. This protects from obtaining a very poor sample (e.g. under or over-represented groups), can give samples of a known precision, and gives more precise estimates for population means and totals. + +- **Clustering** – Dividing a population into sub-groups, and only sampling certain groups. This gives a lower precision, however can be much more convenient and cheaper - for example if surveying school children you may only sample a subset of schools to avoid travelling to a school to interview a single child. + +All of these designs need to be taken into account when calculating statistics, and when producing models. Only summary statistics are discussed in this document, and variances are calculated using Taylor series linearisation methods. For a more detailed introduction to calculating survey statistics using statistical software, see [@Lohr_2022]. + +The ecosystem of survey statistics packages is less mature in Python than in R or SAS, however there is a package that provides a subset of the functionality: [`samplics`](https://samplics-org.github.io/samplics/). + +# Complex Survey Designs + +For R and SAS, we give examples of summary statistics on a simple survey design which just had a finite population correction. Unfortunately, `samplics` does not have the ability to just use an fpc with no PSU or Strata, so we will instead demonstrate just with a more complete (and realistic) survey design, using the NHANES [@NHANES_2010] dataset: + +```{r} +#| echo: false +#| message: false +library(survey) + +# Load example data - academic performance index for californian schools +data("nhanes") + +# View the first few rows of the main dataset +head(nhanes) |> gt::gt() +``` + +# Summary Statistics + +## Mean + +If we want to calculate a mean of a variable in a dataset using `samplics`, we need to create an estimator object using the estimation method we will use - here Taylor Series estimation - and the parameter we are estimating. Then, we can specify the survey design by passing columns which define our strata and PSUs, and a column to estimate: + +```{python} +import numpy as np +import pandas as pd + +from samplics import TaylorEstimator +from samplics.utils.types import PopParam + +nhanes = pd.read_csv("../data/nhanes.csv") + +mean_estimator = TaylorEstimator(PopParam.mean) + +mean_estimator.estimate( + y=nhanes["HI_CHOL"], + samp_weight=nhanes["WTMEC2YR"], + psu=nhanes["SDMVPSU"], + stratum=nhanes["SDMVSTRA"], + remove_nan=True, +) +print(mean_estimator.to_dataframe()) +``` + +## Total + +Calculating population totals can be done by changing the `TaylorEstimator` parameter to `PopParam.total`: + +```{python} +total_estimator = TaylorEstimator(PopParam.total) + +total_estimator.estimate( + y=nhanes["HI_CHOL"], + samp_weight=nhanes["WTMEC2YR"], + psu=nhanes["SDMVPSU"], + stratum=nhanes["SDMVSTRA"], + remove_nan=True, +) +print(total_estimator.to_dataframe()) +``` + +## Ratios + +Calculating population ratios can be done by changing the `TaylorEstimator` parameter to `PopParam.ratio`, and additionally specifying an `x` parameter in the `estimate` method: + +```{python} +ratio_estimator = TaylorEstimator(PopParam.ratio) + +ratio_estimator.estimate( + y=nhanes["HI_CHOL"], + x=nhanes["RIAGENDR"], + samp_weight=nhanes["WTMEC2YR"], + psu=nhanes["SDMVPSU"], + stratum=nhanes["SDMVSTRA"], + remove_nan=True, +) +print(ratio_estimator.to_dataframe()) +``` + +## Proportions + +Calculating proportions can be done by changing the `TaylorEstimator` parameter to `PopParam.prop`: + +```{python} +prop_estimator = TaylorEstimator(PopParam.prop) + +prop_estimator.estimate( + y=nhanes["agecat"], + samp_weight=nhanes["WTMEC2YR"], + psu=nhanes["SDMVPSU"], + stratum=nhanes["SDMVSTRA"], + remove_nan=True, +) +prop_estimator.to_dataframe() +``` + +## Quantiles + +`samplics` currently does not have a method to calculate quantiles. + +## Domain Estimations + +We can perform domain estimations of different sub-populations by passing our domain column as a parameter to the `estimate` method: + +```{python} +mean_estimator = TaylorEstimator(PopParam.mean) + +mean_estimator.estimate( + y=nhanes["HI_CHOL"], + samp_weight=nhanes["WTMEC2YR"], + psu=nhanes["SDMVPSU"], + stratum=nhanes["SDMVSTRA"], + domain=nhanes["race"], + remove_nan=True, +) +mean_estimator.to_dataframe() +``` + +::: {.callout-note collapse="true" title="Session Info"} +```{r} +#| echo: false +si <- sessioninfo::session_info("survey", dependencies = FALSE) +si +``` +```{python} +#| echo: false +# Although sessioninfo::session_info can report on Python config, it depends on `{reticulate}` which +# may not be used. Instead, use the following to replicate +import sys +from importlib.metadata import version + +# Add packages to the list here +packages = ["samplics"] + +max_len = max(len(pkg) for pkg in packages + ["Python"]) + 3 +message = ( + "─ Python configuration ".ljust(79, "─") + "\n" + + " Python".ljust(max_len) + sys.version + "\n" + + "\n".join(f" {pkg}".ljust(max_len) + version(pkg) for pkg in packages) +) + +print(message) +``` +::: diff --git a/requirements.txt b/requirements.txt index 77c11ea7..16e46473 100644 --- a/requirements.txt +++ b/requirements.txt @@ -12,13 +12,17 @@ bleach==6.1.0 certifi==2024.2.2 cffi==1.16.0 charset-normalizer==3.3.2 +colorama==0.4.6 comm==0.2.2 +contourpy==1.2.1 +cycler==0.12.1 debugpy==1.8.1 decorator==5.1.1 defusedxml==0.7.1 exceptiongroup==1.2.0 executing==2.0.1 fastjsonschema==2.19.1 +fonttools==4.53.1 fqdn==1.5.1 h11==0.14.0 httpcore==1.0.5 @@ -47,7 +51,9 @@ jupyterlab==4.1.6 jupyterlab_pygments==0.3.0 jupyterlab_server==2.26.0 jupyterlab_widgets==3.0.10 +kiwisolver==1.4.5 MarkupSafe==2.1.5 +matplotlib==3.9.2 matplotlib-inline==0.1.6 mistune==3.0.2 nbclient==0.10.0 @@ -56,23 +62,31 @@ nbformat==5.10.4 nest-asyncio==1.6.0 notebook==7.1.2 notebook_shim==0.2.4 -numpy==1.26.4 +numpy==2.0.1 overrides==7.7.0 packaging==24.0 pandas==2.2.2 pandocfilters==1.5.1 parso==0.8.4 +patsy==0.5.6 pexpect==4.9.0 +pillow==10.4.0 platformdirs==4.2.0 +polars==1.4.1 prometheus_client==0.20.0 prompt-toolkit==3.0.43 psutil==5.9.8 ptyprocess==0.7.0 pure-eval==0.2.2 +pyarrow==17.0.0 pycparser==2.22 Pygments==2.17.2 +pyparsing==3.1.2 python-dateutil==2.9.0.post0 python-json-logger==2.0.7 +pytz==2024.1 +pywin32==306 +pywinpty==2.0.13 PyYAML==6.0.1 pyzmq==25.1.2 qtconsole==5.5.1 @@ -82,12 +96,11 @@ requests==2.31.0 rfc3339-validator==0.1.4 rfc3986-validator==0.1.1 rpds-py==0.18.0 -scikit-learn==1.5.1 -scipy==1.13.0 +samplics==0.4.22 +scipy==1.14.0 Send2Trash==1.8.3 six==1.16.0 sniffio==1.3.1 -statsmodels==0.14.2 soupsieve==2.5 stack-data==0.6.3 statsmodels==0.14.2 @@ -99,6 +112,7 @@ tornado==6.4 traitlets==5.14.2 types-python-dateutil==2.9.0.20240316 typing_extensions==4.11.0 +tzdata==2024.1 uri-template==1.3.0 urllib3==2.2.1 wcwidth==0.2.13 @@ -106,4 +120,4 @@ webcolors==1.13 webencodings==0.5.1 websocket-client==1.7.0 widgetsnbextension==4.0.10 -zipp==3.18.1 \ No newline at end of file +zipp==3.18.1 From df450375016ee7f63100176138d5c6bb82bec016 Mon Sep 17 00:00:00 2001 From: Michael Walshe Date: Thu, 15 Aug 2024 16:09:50 +0100 Subject: [PATCH 2/4] Update python to work with samplics, set python env as local renv managed, update github actions to use python 3.12 --- .github/workflows/action.yml | 2 +- .github/workflows/pull_request_action.yml | 2 +- Comp/r-sas-python_survey-stats-summary.qmd | 7 ++++++- python/survey-stats-summary.qmd | 8 +++++++- renv.lock | 9 +++------ requirements.txt | 5 +++++ 6 files changed, 23 insertions(+), 10 deletions(-) diff --git a/.github/workflows/action.yml b/.github/workflows/action.yml index e6221c8b..b8ea440b 100644 --- a/.github/workflows/action.yml +++ b/.github/workflows/action.yml @@ -19,7 +19,7 @@ jobs: - uses: actions/setup-python@v5 with: - python-version: '3.9' + python-version: '3.12' cache: 'pip' # caching pip dependencies - run: pip install -r requirements.txt diff --git a/.github/workflows/pull_request_action.yml b/.github/workflows/pull_request_action.yml index 93d1df66..29a0660a 100644 --- a/.github/workflows/pull_request_action.yml +++ b/.github/workflows/pull_request_action.yml @@ -19,7 +19,7 @@ jobs: - uses: actions/setup-python@v5 with: - python-version: '3.9' + python-version: '3.12' cache: 'pip' # caching pip dependencies - run: pip install -r requirements.txt diff --git a/Comp/r-sas-python_survey-stats-summary.qmd b/Comp/r-sas-python_survey-stats-summary.qmd index 4a73a0ef..a63515b0 100644 --- a/Comp/r-sas-python_survey-stats-summary.qmd +++ b/Comp/r-sas-python_survey-stats-summary.qmd @@ -462,6 +462,11 @@ In contrast, the `samplics` package in Python is still early in development, and ```{r} #| echo: false si <- sessioninfo::session_info("survey", dependencies = FALSE) +# If reticulate is used, si will include python info. However, this doesn't +# include package info and can't really be adapted (in the same way external can) +# So instead we delete this. (Currently bug with specifying info= multi +# element vector in sessioninfo) +si$python <- NULL si$external <- structure(list("SAS" = "9.04.01M7P080520"), class = c("external_info", "list")) si ``` @@ -469,7 +474,7 @@ si ```{python} #| echo: false # Although sessioninfo::session_info can report on Python config, it depends on `{reticulate}` which -# may not be used. Instead, use the following to replicate +# may not be used and doesn't include package info. Instead, use the following to replicate import sys from importlib.metadata import version diff --git a/python/survey-stats-summary.qmd b/python/survey-stats-summary.qmd index 9bac4387..864c2a36 100644 --- a/python/survey-stats-summary.qmd +++ b/python/survey-stats-summary.qmd @@ -138,12 +138,18 @@ mean_estimator.to_dataframe() ```{r} #| echo: false si <- sessioninfo::session_info("survey", dependencies = FALSE) +# If reticulate is used, si will include python info. However, this doesn't +# include package info and can't really be adapted (in the same way external can) +# So instead we delete this. (Currently bug with specifying info= multi +# element vector in sessioninfo) +si$python <- NULL si ``` + ```{python} #| echo: false # Although sessioninfo::session_info can report on Python config, it depends on `{reticulate}` which -# may not be used. Instead, use the following to replicate +# may not be used and doesn't include package info. Instead, use the following to replicate import sys from importlib.metadata import version diff --git a/renv.lock b/renv.lock index 7576dc16..c10534d7 100644 --- a/renv.lock +++ b/renv.lock @@ -9,9 +9,9 @@ ] }, "Python": { - "Version": "3.9.6", + "Version": "3.12.5", "Type": "virtualenv", - "Name": "r-reticulate" + "Name": "./renv/python/virtualenvs/renv-python-3.12" }, "Packages": { "BiasedUrn": { @@ -2437,10 +2437,7 @@ "Version": "1.9", "Source": "Repository", "Repository": "CRAN", - "Requirements": [ - "R" - ], - "Hash": "aefe2753a8e7277e0fdd6d1d08d1692e" + "Hash": "495d032ad6bfc725f37ce89e3d6dadb2" }, "patchwork": { "Package": "patchwork", diff --git a/requirements.txt b/requirements.txt index 16e46473..6cd62a27 100644 --- a/requirements.txt +++ b/requirements.txt @@ -35,6 +35,7 @@ ipywidgets==8.1.2 isoduration==20.11.0 jedi==0.19.1 Jinja2==3.1.3 +joblib==1.4.2 json5==0.9.24 jsonpointer==2.4 jsonschema==4.21.1 @@ -97,8 +98,10 @@ rfc3339-validator==0.1.4 rfc3986-validator==0.1.1 rpds-py==0.18.0 samplics==0.4.22 +scikit-learn==1.5.1 scipy==1.14.0 Send2Trash==1.8.3 +setuptools==72.2.0 six==1.16.0 sniffio==1.3.1 soupsieve==2.5 @@ -106,6 +109,7 @@ stack-data==0.6.3 statsmodels==0.14.2 tabulate==0.9.0 terminado==0.18.1 +threadpoolctl==3.5.0 tinycss2==1.2.1 tomli==2.0.1 tornado==6.4 @@ -119,5 +123,6 @@ wcwidth==0.2.13 webcolors==1.13 webencodings==0.5.1 websocket-client==1.7.0 +wheel==0.44.0 widgetsnbextension==4.0.10 zipp==3.18.1 From 5c8c03d3bfb24f49dbc5c8ea38cbd8ad7790fb80 Mon Sep 17 00:00:00 2001 From: Michael Walshe Date: Thu, 15 Aug 2024 16:14:50 +0100 Subject: [PATCH 3/4] Remove windows dependencies if on linux --- requirements.txt | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/requirements.txt b/requirements.txt index 6cd62a27..2f1b0254 100644 --- a/requirements.txt +++ b/requirements.txt @@ -86,8 +86,8 @@ pyparsing==3.1.2 python-dateutil==2.9.0.post0 python-json-logger==2.0.7 pytz==2024.1 -pywin32==306 -pywinpty==2.0.13 +pywin32==306; platform_system=="Windows" +pywinpty==2.0.13; platform_system=="Windows" PyYAML==6.0.1 pyzmq==25.1.2 qtconsole==5.5.1 From 0bc400588b91fdca8a53681b3938af42b98d295f Mon Sep 17 00:00:00 2001 From: Michael Walshe Date: Thu, 15 Aug 2024 16:33:36 +0100 Subject: [PATCH 4/4] Ensure reticulate is added to renv, allow R/Python qmd files --- renv.lock | 5 +++++ requirements.txt | 4 ++-- 2 files changed, 7 insertions(+), 2 deletions(-) diff --git a/renv.lock b/renv.lock index c10534d7..511e1496 100644 --- a/renv.lock +++ b/renv.lock @@ -2954,6 +2954,11 @@ ], "Hash": "bb5996d0bd962d214a11140d77589917" }, + "reticulate": { + "Package": "reticulate", + "Version": "1.38.0", + "Source": "Repository" + }, "rlang": { "Package": "rlang", "Version": "1.1.4", diff --git a/requirements.txt b/requirements.txt index 2f1b0254..910af2e0 100644 --- a/requirements.txt +++ b/requirements.txt @@ -86,8 +86,8 @@ pyparsing==3.1.2 python-dateutil==2.9.0.post0 python-json-logger==2.0.7 pytz==2024.1 -pywin32==306; platform_system=="Windows" -pywinpty==2.0.13; platform_system=="Windows" +pywin32==306; platform_system == "Windows" +pywinpty==2.0.13; platform_system == "Windows" PyYAML==6.0.1 pyzmq==25.1.2 qtconsole==5.5.1