CSVs sliced, diced & analyzed.
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Updated
May 26, 2024 - Rust
CSVs sliced, diced & analyzed.
🌐 Promo website for qsv pro, a spreadsheet data wrangling desktop app. Includes download links for Windows, macOS, & Linux. Website built with Astro as a static site.
The data comes from the FBI's National Instant Criminal Background Check System. The NICS is used by to determine whether a prospective buyer is eligible to buy firearms or explosives.
Data analysis with Python to building and evaluating data models
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.
Zui is a powerful desktop application for exploring and working with data. The official front-end to the Zed lake.
Developed Interactive visualizations and a Shiny Dashboard using using R from a complicated and in-complete time-series dataset.
OpenRefine is a free, open source power tool for working with messy data and improving it
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
data wrangling simplicity, complete audit transparency, and at speed
This repository contains the project materials for optimising e-commerce conversion rates through comprehensive data analysis. Leveraging SQL, MySQL, Power BI, and other tools, explore key factors influencing website performance. From data collection to actionable insights and recommendations,
An alternative version of the Data Analysis and Visualization in R for Ecologists lesson - to be adopted into official curriculum on 8th July 2024
Analyzer of technology statistics based on job descriptions.
Package that builds a JSON inventory/manifest from public primary or derived datasets
This repository includes the data wrangling about the Global Inequality dataviz project using vanilla js and the library arquero.js
Data Science Foundations II | Data Wrangling, Cleaning, and Tidying | How to Clean Data with Python
Data Science Foundations II | Portfolio Project. Data Visualization
This repository contains a collection of data science projects which I did during the IBM Data Science Professional certification programme. Each project demonstrates different aspects of data science, data analysis, data visualization and machine learning.
Learning the data analysis process of questioning, wrangling, exploring, analyzing, and communicating data. Working with data in Python using libraries like NumPy and pandas.
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