In this project, we are going to wrangle, analyze and visualize tweets data of WeRateDogs Twitter user.

The Twitter account WeRateDogs (@dog_rates) is devoted to humorously reviewing pictures of dogs doing adorable poses, often giving them scores above 10/10. It has close to 8.7 million followers as of May 2020.

We are going to perform

• Data wrangling i.e., Gather, Assess and Clean relevant tweet data of WeRateDogs from multiple data sources.
• Storing, analyzing, and visualizing the wrangled data.
• Reporting on
  1. Wrangling efforts
  2. Data Analysis and Visualization

Organization structure of this project is as follows:

|-data/ |-data/twitter_archive_enhanced.csv |-data/image_predictions.tsv |-data/tweet_json.txt | |-addons/ |-addons/twitter_api.py | |-notebooks/ |-notebooks/wrangle_act.ipynb |-notebooks/wrangle_report.ipynb |-notebooks/act_report.ipynb | |-reports/ |-reports/wrangle_report.html |-reports/act_report.html | |-README.md

• Original ratings (no retweets) that have images.
• Assess and clean atleast 8 qualities.
• Assess and clean atleast 2 tidiness issues.
• Tweet image predictions neural network is hosted on Udacity's server.

• Python3.x

Make sure you have pip install on your machine to fiddle around with different python modules. If pip is not pre-installed, run:

    sudo apt-get install python3-pip

Some of the python modules don't come in-built with python3. You can download individual modules by running the following commands in your terminal.

    pip install --user wget
    pip install --user requests

This is a new feature yet to be added.

1. Twitter API
2. Udacity Data Analyst Nanodegree
3. @WeRateDogs Twitter user