Projects in fulfillment of the Udacity Data Analyst Nanodegree

This repository contains the full code, datasets and the report for the Data Wrangling process I undertook in Project 2 of the Udacity Data Analyst Nanodegree

The dataset I wrangled (and analysed and visualized) 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.

This project use tweepy and other python libraries to wrangle, analyze and visualizes report on the tweet of WeRateDogs twitter user. WeRateDogs is a twitter account that rates people's dog with a humorous comment about the dog.

In this challenging project, I do data wrangling processes

An interactive, configurable and generic dashboard to gain insights from geocoded Twitter data. The insightful visualizations generated through exploratory data analysis helps in getting insights into people's perceptions and trends. The analysis can be conducted on tweets based on a specific country or, in general, around the globe.

Wrangle and analyze data

This project is a learning experience on how to perform data wrangling with Python. Here, we performed data wrangling on WeRateDogs Twitter data to create interesting and trustworthy analyses and visualizations. The Twitter archive is great, but it only contains very basic tweet information. Additional gathering, then assessing and cleaning is r…

Data Wrangling carried out on WeRateDogs Twitter Archive