This is an EDA performed on the dataset Pisa Scores 2013-2015.csv.

The EDA Performed with code can be found here

PISA stands for "Program for International Student Assessment" and it is applied to 15 year-old students across the world to assess their performance in Math, Reading and Science. Here, I have tried to analyze and explore the dataset and resultantly infer some meaningful insights from it.

The libraries I used in this process are:

1. tidyverse cleaning of the datase and performing some transitions.
2. ggplot2 for plotting.
3. corrplot for the correlation plot.
4. Hmisc for cor and rcorr functions to find correlation and finding the P-values.
5. ggmap for retrieving map tiles from online servies.

Process:

• Data Loading.

• Data Pre-processing.

• Visualization.

Made with ❤️ by Shikhar .