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).

Pipeline-Genie is an intelligent data pipeline that processes CSV datasets, identifies their schema, and leverages LLaMA 2.0 to extract business insights. Users can select relevant business needs, triggering automated ETL transformations using Apache Spark. The final transformed dataset is stored in AWS S3 and made available for download.

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

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

The Keyword Analysis Dashboard is a powerful tool designed to help marketers and SEO professionals analyze keyword data efficiently. This dashboard allows users to upload keyword data, configure analysis parameters, and visualize the results through interactive charts and tables.

This bot is very useful to search books and download them in Telegram

A Python script to classify companies based on financial metrics like Piotroski F-Score and Stock Valuation, using CSV financial data for analysis and output.

A Python script to classify companies based on financial metrics like Piotroski F-Score and Stock Valuation, using CSV financial data for analysis and output.

A high-performance polynomial regression implementation in pure C with gradient descent optimization and visualization support.

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

This repository showcases a complete Python-based ETL (Extract, Transform, Load) data pipeline designed to process, validate, and analyze weather data for multiple cities. The project demonstrates a structured approach to handling weather data, focusing on data accuracy, transformation, and insights generation.

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 simple Streamlit-based CSV Analysis & Preprocessing Tool for quick data insights.

BlockPredict is a project that utilizes historical data from a blockchain network to predict future block rewards. It combines data fetching, preprocessing, machine learning, and visualization techniques to provide insights into the block reward dynamics of a blockchain.

Create snapshots of CSV files in console tables using C.

A Python application for converting Punchpass reports into a structured Supabase database. Built to streamline the process of importing and managing studio data for analytics.

A Streamlit app that uses OpenAI's LLM for natural language data analysis. Upload CSV files, ask questions in plain English, and get instant insights. Powered by PandasAI, it's designed for quick, code-free exploration of structured data.

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