GithubHelp home page GithubHelp logo

rajeski / 2012_global_pisa_results Goto Github PK

View Code? Open in Web Editor NEW
0.0 2.0 0.0 1.1 MB

Python Analysis: Global PISA Findings: Data Visualization of student rankings and categorical results (Springboard Data Analytics Track - Capstone One Project)

Jupyter Notebook 64.90% HTML 35.10%
matploblib seaborn-plots pandas numpy

2012_global_pisa_results's Introduction

Springboard Data Analytics Track - Capstone Project One

2012 Global PISA Findings and Data Visualization

This project uses a univariate, data analysis (including Google's Colab, i.e., essentially Jupyter Notebooks) for the data visualization(s) of the global 2012, OECD PISA rankings and scores. HTML was used for displaying the Exploration Slideshow's findings via Matplotlib; Numpy; Pandas; Python and Seaborn (for presenting the graphical visualizations to executive, technical and not-technical audiences). ©John S. Rajeski, Ed.D.

2012_global_pisa_results's People

Contributors

rajeski avatar

Watchers

 avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.