The Twitter Analysis Project task was to perform analysis from WeRateDog twitter profile from November 2015 till August 1, 2017. This project was done using Python. Initially, the dataset were gathered before the cleaning process begun. One is the Twitter archived Data which was pre-gathered for this project. The second dataset was to be downloaded programmatically using python then the content were stored in a text file. The last dataset which is needed to provide additional information on the tweets such as its number of retweets and number of favorites (Likes) was gotten from Twitter API using Tweepy. The datasets in this project has gone through the following steps:

• Step 1: Gathering data
• Step 2: Assessing data
• Step 3: Cleaning data
• Step 4: Storing data
• Step 5: Analyzing, and visualizing data
• Step 6: Reporting

Tableau Vizualization: https://public.tableau.com/app/profile/okonkwo.malcom.chukwuebuka/viz/WeRateDogsTwitterAnalysis/Dashboard1?publish=yes