This contains my documentation and code implementation for my second project on ALX-T sponsored Udacity Data Analyst Program. It is a wrangling project that includes gathering data from different sources which tests my web scraping skills and also my wrangling skills.

Udacity Data Analyst Nanodegree Project 7 - Wrangle and Analyze WeRateDogs Twitter account.

This is my second project in my Udacity Data Analyst Nanodegree Program. I scrapped and wrangled the Twitter Date of a Twitter user; @WeRateDogs.

Data wrangling project of WeRateDogs twitter data

Wrangling and analyzing data project for Udacity's Data Analyst Nanodegree. Wrangles WeRateDogs™ (@dog_rates) Twitter data from local, online, and Twitter API sources.

No description available

Code for my introduction to AWS SageMaker in R talk

Using wrangling data techniques to analyse a twetter page "WeRateDogs"

The primary focus of this project revolves around proficient data wrangling techniques. Leveraging the Request library and Tweepy, I conducted comprehensive web scraping operations. Additionally, I engaged in succinct exploratory and explanatory analyses, extracting valuable insights and proposing strategies to enhance tweet retweeting metrics.

This is Udacity's Data Analyst Nanodegree's 5th project; which is Wrangling and Analyzing WeRateDogs Twitter account.

No description available

Wrangling and analysis of Tweets from WeRateDogs (@dogrates) with Python in Jupyter Notebook. Project focuses on gathering, assessing and cleaning data. Various methods, including Python's Requests and Tweepy packages for performing a GET Request and querying Twitter API, were used to collect Tweets and relevant data available online.

Gathered data from URL and twitter API, assessed and cleaned data in Python

Wrangling WeRateDogs Twitter data to create interesting and trustworthy analyses and visualizations.

本次清洗的 (分析和可视化) 的数据集是推特用户 @dog_rates 的档案，也叫做 WeRateDogs。推特用户 WeRateDogs 以诙谐幽默的方式对人们的宠物狗进行评级。本次数据清洗采用python，并在jupyter notebook中记录了整理步骤和最终基于整理进行的初步分析结果。

Use Python to perform Data Wrangling (gathering, assessing, cleaning) of WeRateDogs Twitter account & archive, followed by storing, analyzing and visualizing the wrangled data.

Project: Data wrangling WeRateDogs

WeRateDogs Twitter page data wrangling

Data Analytics Udacity Nanodegree Project

Project: Wrangle and Analyze Data - WeRateDogs twitter account

This project involves wrangling and analyzing the WeRateDogs twitter archive.

I wrangled and analyzed the WeRateDogs (@dog_rates) Twitter data

Performing Data wrangling on data collected using twitter API from "WeRateDogs" page

No description available

This report is a part of the Wrangle and Analyze data project in the Data Analyst Nanodegree offered by Udacity. In this project, the aim is to gather data about WeRateDogs® from multiple sources including; Twitter API, to clean the data, analyze it, and generate insights

In this project, I will be wrangling, analyzing and visualizing 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

The dataset that we will be wrangling (and analysing and visualising) 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.

Data wrangling

No description available

Use Twitter Api and Pandas to gather and conduct data cleaning