In this article we will discuss about handling Covid-19 dataset through various steps such as loading the data into data frame, cleaning the data, extracting statistics from it and finally do some visualizations from which we can draw some conclusions based on the facts provided by the data.
Lets begin by importing necessary libraries to download and load the data into data frame
Now lets download the Covid-19 dataset from online repository
The aim of this blog is just to introduce you to programming in python the rest hard work you have to do it on your own.
In my previous blog we have seen how to use print() function in python, in this blog we will know how to store values in variables for operations such as addition, subtraction, multiplication and division. One can get a doubt that what are variables ?
In python variables are used to point to the memory location where our values are stored, the next question maybe what type of values can be stored in python?
The aim of this blog is just to introduce you to programming the rest hard work you have to do it on your own.
To start with open your chrome browser or any other browser and type repl.it (or you can click on this). This will take you to repl.it website which provides free online IDE for writing your python code and test it and also save it so that we don’t loose our progress. Create an account in it and start coding in it. For your understanding i have put a Youtube video link for the same.
In this article we will quickly go through similarities between SQL and Pandas library in Python. So, that anyone new to pandas can quickly make a link between SQL concepts with Pandas and implement the concepts with pandas.
If you do not know about pandas, you might want to first read through 10 Minutes to pandas to familiarize yourself with the library.
Most of the examples explained here use IPL-data-set available in Kaggle website let’s load the data into Data Frame called IPL and assume we have a database table of the same name and structure.