EDA and V-EDA Tutorial 4 – COVID-19 Comparative Analysis and Visualization

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Hello everyone, I hope you are all doing well and staying safe? The support has been incredible and I appreciate each and everyone of you. Background If you have been following this tutorial series you would know the background. We are basically trying to analyze the COVID-19 data set based on an HTML Jupyter Notebook […]

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EDA and V-EDA Tutorial 3 – Covid-19 Data visualization using Plotly Maps

As earlier stated in my earlier related post, this is going to be a series of tutorials to analyze the COVID-19 data set.  In this third tutorial of the series, we will be plotting the COVID-19 results from the questions from the Jupyter Notebook of the research paper using Exploratory Data Analysis (EDA). What is Data Visualization? Data Visualization is […]

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EDA and V-EDA Tutorial 1: Data Collection and Preprocessing

This is going to be a series where I try to analyze the COVID-19 data set based on a research paper I found. The data set was analyzed using Exploratory Data Analysis (EDA) methods and visualization model in the hope to help increase the situational awareness among the mass community.In this first part of the series, we will work on getting the data in the best format to help us with an efficient EDA and also replicate what we have in the research paper using techniques like melting, concatenating, etc…

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Introduction to Web Scraping with BeautifulSoup from a Covid-19 website.

One thing I have been learning a lot about over the past few years is the importance of data in our world today. From running a small business to predicting events in the future, with the right set of data, you can attain your desired results. The cool thing too about data is that it is always available and always growing and this alone makes a field worth considering. Due to the ongoing Coronavirus, most of us have had to know what is happening and we have visited sites to get the latest numbers. For our very first lesson, we will be scraping data on Coronavirus from the popular Worldometers.info….

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