Project Title - Covid19 in USA Data Analysis

I am using the "covid19-in-usa" kaggle dataset from sudalairajkumar. The dataset, which is from the kaggle platform, contains information about covid19 cases, deaths, testing, and more on a daily basis. I am using the dataset to analyze the covid-19 epidemic in the United States. I am using the tools I learned from the jovian.ml data analysis course to analyze the data. The course taught me python, numpy, pandas, matplotlib, and seaborn. This is the course Data Analysis with Python: Zero to Pandas that taught me data analysis.

How to run the code

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.

Option 1: Running using free online resources (1-click, recommended)

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".

Option 2: Running on your computer locally

1. Install Conda by following these instructions. Add Conda binaries to your system PATH, so you can use the conda command on your terminal.

2. 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

3. Press the "Clone" button above to copy the command for downloading the notebook, and run it on the terminal. This will create a new directory and download the notebook. The command will look something like this:

jovian clone notebook-owner/notebook-id

4. Enter the newly created directory using cd directory-name and start the Jupyter notebook.

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.

Downloading the Dataset

Here we are installing the jovian library and finding a dataset to use for this project. One of the specifications for this project was to find a dataset that had 3 columns and 150 rows from kaggle. Next, we are downloading the opendatasets library to download the the dataset. We are then storing the dataset in this project's file for use in the program.

Let's begin by downloading the data, and listing the files within the dataset.