Covid19-Twitter-Analysis

Final Project

Brief Content Explanation

1. pdf for explanation of every line of code written

2. Ipython notebook contains the code

3. Data Visualisations are done by MatplotLIB and Plotly

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Steps Followed (Briefly) :-

Importing the Libraries:

We start off by importing the python libraries which will be used for the task.

List of Python Libraries Used (with their source code/documentation in braces):-

Numpy (https://numpy.org/ (https://numpy.org/))

Pandas (https://pandas.pydata.org/ (https://pandas.pydata.org/))

Matplotlib (https://matplotlib.org/ (https://matplotlib.org/))

WordCloud (https://amueller.github.io/word_cloud/index.html (https://amueller.github.io/word_cloud/index.html))

Plotly (https://github.com/plotly/plotly.py (https://github.com/plotly/plotly.py))

Cufflinks (https://github.com/santosjorge/cufflinks (https://github.com/santosjorge/cufflinks))

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Sub-Tasks Completed

Sub Task 1 - A tag cloud depicting what topics / Word were being talked about on Twitter

Sub Task 2 - Which hashtag trended (Hashtags are words or phrases beginning with # eg #COVID)

Sub Task 3 - Which Twitter Handler which dominated conversation on Twitter

Remaining description of the analysis has been described in the submitted files(zip,pdf).