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C-accelerated Ruby Gem for convenient reading and writing of CSV files. It has intelligent defaults, and auto-discovery of column and row separators. It imports CSV Files as Array(s) of Hashes, suitable for direct processing with ActiveRecord, kicking-off batch jobs with Sidekiq, parallel processing, or oploading data to S3
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.
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.
🇺🇸 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.
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.
A high-performance Dart library for FP-Growth algorithm and association rule mining. Efficiently discover frequent patterns and generate insightful association rules from your data.
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.
GainSense is an investment analytics platform that allows users to upload CSV-based investment data and visualize yearly investment totals, profit/loss, and asset-wise distributions. The project emphasizes backend data processing, analytics, and frontend visualization using FastAPI, PostgreSQL, and Next.js.