Proofreading

.gitignore

@@ -85,5 +85,6 @@ target/
 # Mypy cache
 .mypy_cache/
 
-# Jupyter Book
-_build/
+# Project-specific
+_build/
+data/

.pre-commit-config.yaml

@@ -0,0 +1,39 @@
+# See https://pre-commit.com for more information
+# See https://pre-commit.com/hooks.html for more hooks
+repos:
+  - repo: https://github.com/pre-commit/pre-commit-hooks
+    rev: v4.5.0
+    hooks:
+      - id: trailing-whitespace
+      - id: end-of-file-fixer
+      - id: check-yaml
+      - id: check-added-large-files
+      - id: check-ast
+      - id: check-json
+      - id: detect-aws-credentials
+        args: [--allow-missing-credentials]
+      - id: detect-private-key
+  - repo: https://github.com/igorshubovych/markdownlint-cli
+    rev: v0.39.0
+    hooks:
+      - id: markdownlint
+        name: Markdownlint
+        files: \.(md|mdown|markdown)$
+        args: [
+            "--disable=MD013", # line-length
+            "--disable=MD033", # no-inline-html
+          ]
+  - repo: https://github.com/codespell-project/codespell
+    rev: v2.2.6
+    hooks:
+      - id: codespell
+        name: codespell
+        description: Checks for common misspellings in text files
+  - repo: https://github.com/astral-sh/ruff-pre-commit
+    rev: v0.2.1
+    hooks:
+      - id: ruff
+        types_or: [python, pyi, jupyter]
+        args: [--fix]
+      - id: ruff-format
+        types_or: [python, pyi, jupyter]

README.md

@@ -33,4 +33,4 @@ Restrictions may apply to the data that support the findings of this study. Data
 
 ## License
 
-The repository is licensed under the [World Bank Master Community License Agreement](LICENSE.md).
+This projects is licensed under the [**Mozilla Public License**](https://opensource.org/license/mpl-2-0/) - see the [LICENSE](LICENSE) file for details.

docs/_config.yml

@@ -1,6 +1,6 @@
 # Book settings
 title:
-author: World Bank Development Data Group
+author: Development Data Group
 copyright: "2023"
 logo: docs/images/logo.png
 only_build_toc_files: true
@@ -17,6 +17,9 @@ html:
     use_issues_button: true
     baseurl: https://datapartnership.github.io/turkiye-earthquake-impact
     extra_footer: |
+        <div>
+        Country borders or names do not necessarily reflect the World Bank Group’s official position. All maps are for illustrative purposes and do not imply the expression of any opinion on the part of the World Bank, concerning the legal status of any country or territory or concerning the delimitation of frontiers or boundaries
+        </div>
         <div>
             <b>All content (unless otherwise specified) is subject to the <a href="https://www.mozilla.org/en-US/MPL">Mozilla Public License.</a></b>
         </div>

docs/_toc.yml

@@ -8,12 +8,10 @@ parts:
   - caption: Introduction to Data Goods
     chapters:
       - file: docs/introduction_to_data_goods
-  - caption: Foundational Datasets
-    chapters:
-      - file: docs/foundational_datasets_and_data_products.md
-      - file: notebooks/earthquake-intensity/earthquake_intensity.ipynb
+      - file: docs/data
   - caption: Data Products
     chapters:
+      - file: notebooks/earthquake-intensity/earthquake_intensity.ipynb
       - file: notebooks/business-activity-trends/README
         sections:
           - file: notebooks/business-activity-trends/01-business-activity-trends.ipynb
@@ -28,7 +26,7 @@ parts:
       - file: notebooks/nighttime-lights/README
       - file: notebooks/surveys/README
         sections:
-          - file:  notebooks/surveys/premise.ipynb
+          - file: notebooks/surveys/premise.ipynb
   - caption: Sample Indicators and Insights
     chapters:
       - file: docs/sample-indicators

docs/bibliography.bib

@@ -68,4 +68,3 @@ @inproceedings{10.1145/3292500.3340412
 location = {Anchorage, AK, USA},
 series = {KDD '19}
 }
-

docs/foundational_datasets_and_data_products.md → docs/data.md

@@ -1,11 +1,12 @@
-(foundational-data)=
-# Foundational Datasets and Data Products Summary
+# Datasets and Data Products Summary
 
-## Foundational Datasets
+(data)=
 
-**Foundational Datasets** refer to **all** datasets used in the analytics prepared for a project. The Foundational Datasets table includes a description of the data and their update frequency, as well as access links and contact information for questions about use and access. Users should not require any datasets not included in this table to complete the analytical work for the Data Good.
+## Datasets
 
-Following is list of all Foundational Datasets used in this Data Good:
+**Datasets** refer to **all** datasets used in the analytics prepared for a project. The Datasets table includes a description of the data and their update frequency, as well as access links and contact information for questions about use and access. Users should not require any datasets not included in this table to complete the analytical work for the Data Good.
+
+Following is list of all Datasets used in this Data Good:
 
 ```{note}
 **Project Sharepoint** links are only accessible to the project team. For permissions to access these data, please write to the contact provided. The **Development Data Hub** is the World Bank's central data catalogue and includes meta-data and license information.
@@ -26,11 +27,11 @@ Where feasible, all datasets that can be obtained through the Development Data H
 
 ## Data Products Summary
 
-**Data Products** are produced using the **Foundational Datasets** and can be further used to generate indicators and insights. All Data Products include documentation, references to original data sources (and/or information on how to access them), and a description of their limitations.
+**Data Products** are produced using the **Datasets** and can be further used to generate indicators and insights. All Data Products include documentation, references to original data sources (and/or information on how to access them), and a description of their limitations.
 
 Following is a summary of Data Products used in this Data Good:
 
-| ID  | Name | Description | Limitations | Foundational Datasets Used (ID#) |
+| ID  | Name | Description | Limitations | Datasets Used (ID#) |
 | --- | ---- | ----------- | ----------- | -------------------------------- |
 |  A         |  Observed POI Visitation based on mobility traces  |     Daily aggregated analysis of trip   patterns through formal and informal checkpoints, over time.                       |     Convenience sampling; Sample size is    limited                                                                                                                                                   |     1,2                    |
 | B   | Observed changes in Business Activity Trends     |    Daily and weekly aggregated business activity trends per business vertical         |   Only uses data from Facebook users          |     1, 4                             |

docs/requirements.txt

@@ -1,2 +1,2 @@
 docutils==0.17.1
-jupyter-book==0.15.1
+jupyter-book==0.15.1

docs/sample-indicators.md

@@ -2,7 +2,7 @@
 
 **Indicators** can be derived from a combination of **Foundational Datasets** and **Data Products**. By combining Foundational Datasets and Data Products, teams can, on-demand, develop a large array of indicators to meet their project needs. Indicators can presented side-by-side in an Excel workbook -- a format that is generally accessible to the widest audiences. Because all indicators are based on the same underlying data, they are comparable with each other, across geographies and across time.
 
-For this project, sample indicators have been derived and aggregated at the Admin 2 level over multiple time periods, to show changing trends in each area over time. Here is a link to the [**Indicators Excel workbook**](https://worldbankgroup.sharepoint.com/:x:/t/DevelopmentDataPartnershipCommunity-WBGroup/EUeOvCYy-J5Any7OhhspubQBbykjOv0ew9MAZg4oGz2i3w?e=De1jpa) (accessible to team members via SharePoint), and following is a summary of the sample indicators by Administrative Level 2, over a baseline and weekly post-earthquake periods: 
+For this project, sample indicators have been derived and aggregated at the Admin 2 level over multiple time periods, to show changing trends in each area over time. Here is a link to the [**Indicators Excel workbook**](https://worldbankgroup.sharepoint.com/:x:/t/DevelopmentDataPartnershipCommunity-WBGroup/EUeOvCYy-J5Any7OhhspubQBbykjOv0ew9MAZg4oGz2i3w?e=De1jpa) (accessible to team members via SharePoint), and following is a summary of the sample indicators by Administrative Level 2, over a baseline and weekly post-earthquake periods:
 
 * Population
 
@@ -21,8 +21,6 @@ For this project, sample indicators have been derived and aggregated at the Admi
 
 ### Sample indicator: Observing change in Business Activity for a specific business vertical
 
-By overlaying multiple datasets together, it is possible to study changes in business activity further. For instance, in the below map, we can see the changes in Business Activity for the retail sector overlayed with damaged buildings information from the MoECC. Some admin 2 regions' retail activity remained relatively unaffected immediately after the earthquake despite damage to buildings. 
+By overlaying multiple datasets together, it is possible to study changes in business activity further. For instance, in the below map, we can see the changes in Business Activity for the retail sector overlayed with damaged buildings information from the MoECC. Some admin 2 regions' retail activity remained relatively unaffected immediately after the earthquake despite damage to buildings.
 
 <iframe width="100%" height="500px" src="https://studio.foursquare.com/public/1a818869-6a2e-41a9-a261-2aec58cf468e/embed" frameborder="0" allowfullscreen></iframe>
-
-

docs/team.md

@@ -10,4 +10,4 @@ The Data Lab would like to express our sincere gratutude and appreciation for th
 | [Gabriel Stefanini Vicente](mailto:[email protected]) | Data Scientist - Cross border activity   monitoring using GPS data                        | WB Data Lab, DECDG |
 | [Sahiti Sarva](mailto:[email protected])                | Data Scientist - Internet Connectivity, Business Activity Trends, Premise surveys, Access, code and data management                                       | WB Data Lab, DECDG |
 
-The Data Lab would also like to express our appreciation for Han Anand Beck, Lead Country Economist for Turkiye, who has entrusted our team with using alternative data sources to understand a rapidly changing, complex problem. 
+The Data Lab would also like to express our appreciation for Han Anand Beck, Lead Country Economist for Turkiye, who has entrusted our team with using alternative data sources to understand a rapidly changing, complex problem.