Basics + Intermediate + Advance

Wrangled, Analyze and cleaned data gotten from 3 sources using requests os, twitter api and merging to produce a master set

Exploratory Data Analysis on medical appointments to provide insights into reasons why patients do not show up for their appointments

This project is from the Data Analysis Nano Degree from Udacity. The intent is to walk through the data analysis process on a medical patient show/no-show dataset, identifying the relationshp between various dependent variables to the dependent variable - whether a patient will show up or not.

🎓 Uni-Bonn Collection of tools for teaching R

In this Repository, you will find project files for a project in which I analyzed a dataset and then communicate my findings about it. I used the Python libraries NumPy, pandas, and Matplotlib to make my analysis easier.

Wrangling WeRateDogs Twitter data to create interesting and trustworthy analyses and visualizations. The Twitter archive is great, but it only contains very basic tweet information.I made additional gathering, then assessing and cleaning to get a "Wow!"-worthy analyses and visualizations.

This repository holds all the projects for the ALXT Data Analysis Udacity Nanodegree Program

Data wrangling project for @WeRateDogs twitter account

Data wrangling and analysis for twitter data of user @dog_rates using Python3 , Pandas, numpy

Udacity Natural Language Processing Nanodegree.

This dataset contains trips data of the Ford Go bike share system. An initial exploration will be done and follow it with data cleaning phase in order to clearly visualize data and discover insights and trends.

Data analysis of bike renting company data, producing some insights and assessing the relation between different variables

Wrangling the WeRateDogs datasets to showcase data gathering, assessing, cleaning, and documentation skills.

Customer Analytics: Explore and analyze data related to bikeshare systems for three major cities

R Workshop for beginners to make first contact with a programming language - Aug 2019