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Created 4 years ago
Pakistan COVID-19 Exploratory Data Analysis
- This analysis will illustrate 3 Months Analysis from July 11, 2020 to October 11, 2020.
- Python libraries; Numpy and Pandas are used for this analysis.
- And lastly, Seaborn and Matplotlib libraries are used for the visualisation of this analysis.
How it works?
- A real-world COVID dataset have been used for this analysis,
downloaded from: https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_daily_reports - Two separate CSV files have been used, containing July and October data, respectively.
- Then specifically extracted and cleansed Pakistan's data from it, and made a separate CSV file for easy access.
- Then plotted data regarding Confirmed, Active, Death and Recovered Cases overall the country.
- And lastly, plotted data regarding Confirmed, Active, Death and Recovered Cases, region wise.
Source Code
- Numpy: A python library used for working with arrays. It also has functions for working in domain of linear algebra, fourier transform, and matrices.
- Pandas: A python library that provides high-performance, easy to use structures and data analysis tools. It also provides in-memory 2D table object called Dataframe.
- Matplotlib: A comprehensive library for creating static, animated, and interactive visualizations in Python.
- Seaborn: A Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics.
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns