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project-2's Introduction

WeRateDogs Dataset Exploration

The dataset that you will be wrangling (and analyzing and visualizing) is the tweet archive of Twitter user @dog_rates, also known as WeRateDogs. WeRateDogs is a Twitter account that rates people's dogs with a humorous comment about the dog. These ratings almost always have a denominator of 10. The numerators, though? Almost always greater than 10. 11/10, 12/10, 13/10, etc. Why? Because "they're good dogs Brent." WeRateDogs has over 4 million followers and has received international media coverage. You can download the dataset from Kaggle

The objective of this project is to:

  • Perform data wrangling
  • Analyze, visualize and store the wrangled data
  • Report the insights and visualization

Packages needed for this Project

    import os
    import requests
    import pandas as pd
    import numpy as np
    import matplotlib.pyplot as plt
    import seaborn as sns
    import json 

Steps:

Gather Data

  • Importing Enhanced Twitter Archieve
  • Downloading The Tweet Image Prediction
  • Getting Tweet Data from Twitter API

Assessing Data

  • Visual Assessment
  • Programmatic Assessment

Cleaning Data

  • Quality Issues
  • Tidiness Issues

Storing Data

Data Analysis and Visualization

Create Report

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