Command-line CSV processing utility.

Data-Splitter is a Python script designed to split a large CSV file containing data into three different formats: JSON, a database table, and another CSV file. The script ensures a random distribution of data across the three output formats based on custom-defined ratios.

🇺🇸 Solution for importing and analyzing public Brazilian business data (CNPJ). 🇧🇷 Processamento de Dados CNPJ: Uma solução robusta e conteinerizada para importação e análise de dados empresariais brasileiros (CNPJ).

Reference project using AWS Lambda and Scala for CSV processing and loading into DynamoDB

A simple ETL and visualization project that loads employee data from CSV into a SQLite database and generates charts for salary distribution and hiring trends.

In this project, I analyze commercial sales data using NumPy and pandas. I visualize total revenue per product using color-coded bar charts in Matplotlib. It’s a foundational step in business data analysis and project documentation.

Proyecto de análisis de ventas de tiendas para Alura Latam con Python y visualización de datos.

Command-line utility for processing semicolon-separated values (SCSV)

CSV Processing Tool is a Python CLI utility for filtering and aggregating data from CSV files. It allows you to quickly process large amounts of tabular information using the command line, without the need to use Excel or databases.

This Python application analytically processes CSV data containing haunted site information, employing heatmap visualization techniques to discern the most paranormally active regions within the USA.

A Python tool to clean, filter, and organize product annotation data.

Python-приложение для сопоставления номеров из выгрузки Active Directory с данными из .csv/.txt, с выводом в CSV и логированием.

A Python desktop application for image caption validation and annotation with an easy-to-use Tkinter GUI, featuring progress tracking and duplicate caption detection. Built with MVC architecture for clean separation of concerns.

An interactive Power BI project analyzing multi-year Spotify streaming history to uncover user listening patterns, peak activity times, and music preferences. The dashboard includes YOY growth analysis, heatmaps, top artist/album/track rankings, and quadrant segmentation of songs based on frequency and duration.

The goal of this project is to eliminate the need for paper by digitizing the process of handling client passport information.

Find free digital editions of Harvard Classics on Project Gutenberg. Automatically maps 300+ classic works to downloadable ebooks with popularity and metadata.

The 🐲EMU RPG API🐲 supports the EMU RPG Club’s events by managing game tables, players, and D&D character data. Built with FastAPI, it includes features like table/character management, real-time WebSocket updates, data validation, API monitoring, and secure access, providing an organized backend for tabletop RPG sessions.

Java-based application for managing and processing climate and economic information for USA communities using a layered linked list structure. Features include CSV data import, efficient data management, and retrieval methods. Ideal for learning and applying OOP and linked lists.

A Python script for analyzing weather statistics from CSV files. This tool provides functionalities to compute minimum, maximum, and average values for a specified column, generate charts for visual analysis, and list raw data. Explore your weather data effortlessly!

O Leitor de Google Sheets é uma aplicação desktop desenvolvida em Python com a biblioteca Tkinter, projetada para carregar, processar e exibir dados de planilhas públicas do Google Sheets em formato de tabela.