A terminal spreadsheet multitool for discovering and arranging data
A TUI pager with advanced support for tabular data, inferring/swapping delimiters, and real-time event parsing.
Advanced data wrangling for python
A small utility for analyzing data structures (e.g. JSON files)
A collection of projects as part of the Python for Data Science program at GreyAtom EduTech Pvt Ltd
This is an EDA project that explores the Data Science Salaries in 2023 dataset. The purpose of this project is to gain insights into the current trends and patterns of salaries in the data science industry.
This project simulates an executive-level business intelligence system for a multi-channel retail company using synthetic data. It covers full-stack analytics — from raw data ingestion to KPI generation and dashboard creation.
ETL-pipelines for structured and unstructured data, data wrangling worked examples, automatic data workflows
Analyze the Olist dataset with ease using Python DataAnalysis class. Fetch, clean, and visualize data on customer cities, payment types, order status, and popular seller cities. Dive into the world of data analysis with SQLite, Pandas, Matplotlib, and Seaborn. Discover insights and trends in the Olist dataset effortlessly.
I came across a challenge introduced by Shashank Kalanithi. it's a data set in form of a CSV file with an interesting block-like structure. The challenge was to transform this data into the regular form of long thin tables.
Oftentimes, we come across data that isn't in the form that we need to make joins, when that happens, we can convert those using simple python scripts I use the gene ontology OBO format and convert it into tabular format for making joins with other tables using this python script.
Un script Python à utiliser avec OpenRefine pour exécuter des tâches à l’aide de modèles de langage ouverts.
🏡 🚥 Python - SQL / Wrangling and cleaning up the OpenStreeMap data from San Francisco area and running queries on it using SQL
This repo contains the code to download data and then extract it, if needed, and store it in a pickle file.
This is a pandas test for a data science job. The solution here is in form of a notebook beside the main Python file.
Package built for a group project for UBC-MDS
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