Data Analysis about the development of the Linux operating system by exploring its Git repository history.

We have all been in a situation where we go to a doctor in an emergency and find that the consultation fees are too high. As data scientists, we all should do better. What if you have data that records important details about a doctor and you get to build a model to predict the doctor’s consulting fee?

Cruise Reviews - NLP - Text Classification

Project No. 4 in the Udacity Data Analyst Nanodegree Winter 2019-2020. Using Python, we’ll gather data from a variety of sources, assess its quality and tidiness, then clean it. We’ll document our wrangling efforts in a Jupyter Notebook, plus showcase them through analyses and visualizations using Python and SQL.

This repository creates an ETL pipeline which takes in movie data from Kaggle and Wikipedia. The ETL_create_database.ipynb file contains all the code necessary to perform all three steps.

Wrangling and analyzing we rate dogs twitter account which rates people's dogs with a humorous comment about the dog.

Data wrangling project from Udacity professional data analysis Nanodegree

Cleaning a really messy database on shark attacks around the world and doing some EDA

Customer Segmentation is one of crucial analysis for business Marketing Strategy. In this dataset, from a raw customer purchasing history, use Python to clean, explore and prepare for further analysis. I applied 2 different approaches of Customer Segmentation: traditional and RFM.

Energy management, grid dependability, and the distribution of sustainable resources all depend heavily on understanding and forecasting energy demand trends. This project is extremely important in a number of areas.

Analyse de données de systèmes éducatifs (OpenClassrooms | Data Scientist | Projet2)

R / Shiny - Clean, merge and visualize into Shiny a BWIN Datamart.

Udacity Data Analyst Nanodegree - Project IV

Dirty data project completed as part of Data Analysis course 🎓

Repo to show some basics techniques of data wrangling

This repository provides a Jupyter notebook on basic data cleaning and exploratory data analysis process with a CSV file that was scrapped from a real estate website in Belgium.

The Play Store apps data has enormous potential to drive app-making businesses to success. Actionable insights can be drawn for developers to work on and capture the Android market!

This repository contains the scripts used to wrangle exchange rate data using T-SQL