The mark of quality and trust for open data

• Updated Mar 10, 2023
• Ruby

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

• Updated Dec 9, 2020
• Jupyter Notebook

💹📈Investigating the oils market prices in addition to the stock market prices between the start of 2001 to the end of 2023. 💰📉

• Updated Jul 5, 2024
• Jupyter Notebook

DAIS‐10‐Continuum — Repository Description DAIS‐10‐Continuum is the official home of the Data Attribute Importance Standard (DAIS‐10) and its underlying semantic engine, the Data Importance Fading System (DIFS‐10).

• Updated Feb 18, 2026

DECI-Udacity Lvl3 Wrangling and Analyze Data Project

• Updated Jul 18, 2025
• HTML

Experimental Python tool for assessing raw data readiness for process mining and event-log generation

• Updated Nov 15, 2025
• Python

This repository provides R scripts for reproducing virtual species generating, modeling species distribution and final figures related with published manuscript.

• Updated Jun 13, 2023
• R

Generates a match score of two person names from 0-100, where 100 is the highest, on how closely two individual full names match. The scoring is based on a series of tests, algorithms, AI, and an ever-growing body of Machine Learning-based generated knowledge

• Updated Sep 17, 2023
• Go

The mark of quality and trust for open data

• Updated Aug 19, 2025
• JavaScript

Wrangle and Analyze Data of twitter WeRateDogs account

• Updated Jan 22, 2021
• Jupyter Notebook

Step by step Guide to data assessment, cleaning and analysis using a hypothetical phase II clinical trial dataset in Python

• Updated Aug 4, 2022
• Jupyter Notebook

A virtual Internship introduced by KPMG AU on Forage.

• Updated Oct 12, 2023
• Jupyter Notebook

This repository has the Udacity data wrangling exercise, which helps us practice the wrangling process.

• Updated Nov 20, 2020
• Jupyter Notebook

Data gathering, Assessing and cleaning on audible dataset

• Updated Mar 17, 2023
• Jupyter Notebook

This repo contains files that show the different steps in data wrangling - gathering, assessment and cleaning. The use case is to wrangle data for WeRateDogs twitter account.

• Updated Aug 2, 2022
• HTML

This report details the steps employed for wrangling the data used in the "WeRateDogs" project. The three steps in the wrangling phase of data analysis – gathering, assessing, and cleaning – were strictly followed.

• Updated Sep 5, 2022
• HTML

A hands-on learning repository focused on data assessing and cleaning using Python. Covers inspecting data quality, handling missing values, correcting inconsistencies, detecting outliers, and preparing clean, reliable datasets for analysis, visualization, and machine learning workflows.

• Updated Dec 7, 2025
• Jupyter Notebook

It was the project of the udacity data analysis nano degree, my job was to gather data from Twitter API programmatically with python then assess it and discover its quality and tidiness issues then clean these issues with pandas and finally, I did some analysis and visualization to this data to make insights of it

• Updated Mar 28, 2021
• Jupyter Notebook