A terminal spreadsheet multitool for discovering and arranging data
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Updated
Jun 21, 2024 - Python
A terminal spreadsheet multitool for discovering and arranging data
Advanced data wrangling for python
🏡 🚥 Python - SQL / Wrangling and cleaning up the OpenStreeMap data from San Francisco area and running queries on it using SQL
A small utility for analyzing data structures (e.g. JSON files)
A set of handy functions for digital data analysis purposes
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 repo contains the code to download data and then extract it, if needed, and store it in a pickle file.
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.
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.
Package built for a group project for UBC-MDS
Winning the Space race with Data Science
A dashboard visualization rural population and agriculture data from the World Bank. Created with Flask, Plotly and Bootstrap library.
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.
This is a pandas test for a data science job. The solution here is in form of a notebook beside the main Python file.
Datawrangling in Python using pandas
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