This assignment is to practice how to use Jupyter/IPython notebook and run a toy example (covid19-state-dataset). Please follow the steps below to have the work done on notebook. The generic template (HW1-covid19 state data.ipynb) of this homework is provided on the i-school(Plus) (https://istudy.ntut.edu.tw/learn/index.php) platform of school.
Step 1
Use Pandas (https://pandas.pydata.org/) to load COVID-19 State Data Set
(https://www.kaggle.com/nightranger77/covid19-state-data/data) as the dataframe.
Step 2
Get 20 data items as sample randomly and show them.
Step 3
Show 10 data items which the Deaths are more than 100 as sample randomly.
Step 4
Sort the data by GDP and present the top 20 data items.
Step 5
Show the simple statistical information (mean, std, min, max, quartile1, quartile2, quartile3).
**Use matplotlib (https://matplotlib.org/) to show 2D images about data.
Step 6
Plot the distribution of two classes: 1. GDP < 58000, and 2. GDP ≤ 58000 in COVID-19 State Data using different colors and different marker where x-axis is the Pollution and y-axis the Mortality-rate.
Step 7
Show the proportion of three classes below in COVID-19 State Data using pie chart:
Class 1 Mortality-rate < 0.02
Class 2 Mortality-rate between 0.02 and 0.03
Class 3 Mortality-rate 0.03
