COVID19 Analysis using Power BI Desktop
Analysis of the data before running into predictions is very important. Understand a few rows and a few columns is very nominal task and we can easily examine the data. However, with a little larger data, suppose 10,000 rows with 50 columns, we really need to do analysis of the data so that we can come to know which factors are going to affect our prediction.
Data Analysis with Python is a bit tedious task as we have to prepare the data i.e. cleaning, pre-processing and normalization. We use Seaborn and Matplotlib for our data visualization. But before plotting the graphs, we need to know which columns are inter-related. For that, we need a co-relation matrix which we can create using Python. However, PPS matrix is more better than co-relation matrix.
It is always a tedious task when we code for Data Analysis. So, we have certain tools available in the market for it like Power BI, Tableau, etc.
I have done COVID19 Analysis with the data which you can download from the link given below.
Link for Dataset: COVID19 Dataset
And here’s the report of my work.
Power BI Report: MuskaanPirani_report
Thanks for reading!
Originally published at https://muskaanpirani.blogspot.com on September 17, 2020.
