Explore the representation of women in tech using StackOverflow's 2020 survey data. Learn data analysis with Python in this course project. Run the code on Jupyter notebook using free online resources or on your computer. Download the dataset and prepare the data for analysis.
This analysis uses the 2020 survey data from StackOverflow to get a glimpse into where women are in the tech world. This project is the course project for the Data Analysis with Python: Zero to Pandas course. This project is an extension to "Lesson 6 - Exploratory Data Analysis - A Case Study" of the course.
The course is a hands-on introductory to data analysis using Python programming language along with fundamental but essential library packages for data analysis and visualization. The dataset contains responses from software development community on Stack Overflow (stackoverflow.com).
This is an executable Jupyter notebook hosted on Jovian.ml, a platform for sharing data science projects. You can run and experiment with the code in a couple of ways: using free online resources (recommended) or on your own computer.
The easiest way to start executing this notebook is to click the "Run" button at the top of this page, and select "Run on Binder". This will run the notebook on mybinder.org, a free online service for running Jupyter notebooks. You can also select "Run on Colab" or "Run on Kaggle".
Install Conda by following these instructions. Add Conda binaries to your system
PATH, so you can use the
conda command on your terminal.
Create a Conda environment and install the required libraries by running these commands on the terminal:
conda create -n zerotopandas -y python=3.8 conda activate zerotopandas pip install jovian jupyter numpy pandas matplotlib seaborn opendatasets --upgrade
jovian clone notebook-owner/notebook-id
cd directory-nameand start the Jupyter notebook.
You can now access Jupyter's web interface by clicking the link that shows up on the terminal or by visiting http://localhost:8888 on your browser. Click on the notebook file (it has a
.ipynb extension) to open it.
Use the jovian opendatasets library to retrieve the CSV file from stackoverflow.com
!pip install jovian opendatasets --upgrade --quiet
Let's begin by downloading the data, and listing the files within the dataset.