Udacity Data Scientist Nanodegree Project.

1. Installation
2. Project Motivation
3. File Description
4. Results

This code runs with Python version 3.* and requires some libraries:

1. Pandas
2. NumPy
3. Matplotlib
4. Seaborn

You can download Stackoverflow’s 2017 and 2018 Annual Developer Survey and put in specific folders. You can find the data to download here.
To move the downloaded files to their respective folders, execute the following commands:

1. Stackoverflow’s 2017 data:

   mv survey_results_public.csv Write-a-Data-Science-blog-post/data/2017/survey_results_public.csv
   

2. Stackoverflow’s 2018 data:

   mv survey_results_public.csv Write-a-Data-Science-blog-post/data/2018/survey_results_public.csv
   

This is an Udacity Nanodegree project where I explored the Stackoverflow Developer Survey Data to gain insights into the following questions regarding Japan:

1. Which programming languages are most commonly used, and which are most in demand?
2. What are the most wanted programming languages in Japan?
3. How does the programming languages used at work relate to the programming languages people want to learn?

exploratory_analysis.ipynb: Notebook with the data analysis.
data/2017/survey_results_public.csv: Stackoverflow's 2017 Annual Developer Survey data.
data/2018/survey_results_public.csv: Stackoverflow's 2018 Annual Developer Survey data.

The main findings of the code can be found in the available post at here