In this project, I use Python visualization libraries to investigate the 2012 PISA dataset, which I use to create an jupyter-notebook that outlines Data Wrangling and Visualization process with intriguing properties, trends, and relationships. Libraries learned: Seaborn, Matplotlib, Numpy, Pandas.

This project is divided into two major parts. Exploratory data analysis on a PISA 2012 survey dateset. You will use Python data science and data visualization libraries to explore the dataset’s variables and understand the data’s structure, oddities, patterns and relationships. The analysis in this part should be structured, going from simple univariate relationships up through multivariate relationships, but it does not need to be clean or perfect. There is no one single answer that needs to come out of a given dataset. This part of the project is your opportunity to ask questions of the data and make your own discoveries. It’s important to keep in mind that sometimes exploration can lead to dead ends, and that it can take multiple steps to dig down to what you’re truly looking for. Be patient with your steps, document your work carefully, and be thorough in the perspective that you choose to take with your dataset. In the second part, you will take your main findings from your exploration and convey them to others through an explanatory analysis. To this end, you will create a slide deck that leverages polished, explanatory visualizations to communicate your results. This part of the project should make heavy use of the first part of the project. Select one or two major paths in your exploration, choose relevant visualizations along that path, and then polish them to construct a story for your readers to understand what you found.

Udacity's Data Analysis ND project on PISA survey 2012

Performed a exploratory data analysis on PISA 2012 survey data and selected three main outcomes for a presentation

This repo contains an exploratory data analysis I conducted on the 2012 PISA (programme for international student assessment) test scores.

PISA 2012: This is Udacity's fifth project under Data Analyst Nanodegree Program. This project focused on performing an exploratory data analysis using Python and then creating a presentation with explanatory plots that communicate our findings . (Created on February 24, 2019)