تفاصيل العمل

Wrangling (and analyzing and visualizing) a dataset which 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. Introduction We rate dog is a Twitter account with funny and interesting tweets of rating dogs we rate dogs

Overview

The project main objectives were:

Perform data wrangling (gathering, assessing, and cleaning) on the provided sources of data.

Store, analyze, and visualize the wrangled data.

Reporting on:

data wrangling efforts.

data analyses and visualizations. In addition, as per project specification, only original tweets/ratings that have images should be used in the analysis (no retweets nor replies). This project was completed as part of Udacity's Data Analysis Professional Nanodegree.

Datasets

twitter-archive-enhanced.csv provided from Udacity.

image-predictions.tsv Downloaded from this link

tweet_json.txt Gathered from twitter API.

twitter_archive_master.db database hold the cleaned combined dataset.

Reports

Wrangle report: documentation for data wrangling steps: gather, assess, and clean.

Act report: documentation of analysis and insights into final data.

Used Tools

Jupyter notebook

Python and it's libraries (pandas, numpy, matplotlib, requests, seaborn, tweepy, re, os, json)

ملفات مرفقة

بطاقة العمل

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