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Installer for DataKitchen's Open Source Data Observability Products. Data breaks. Servers break. Your toolchain breaks. Ensure your team is the first to know and the first to solve with visibility across and down your data estate. Save time with simple, fast data quality test generation and execution. Trust your data, tools, and systems end to end.
DataOps Data Quality TestGen is part of DataKitchen's Open Source Data Observability. DataOps TestGen delivers simple, fast data quality test generation and execution by data profiling, new dataset hygiene review, AI generation of data quality validation tests, ongoing testing of data refreshes, & continuous anomaly monitoring
:scream_cat:数据可视化~实现可拖拽数据可视化视图、数据获取配置
BlazorDynamicForm is a dynamic form generator.
CSV Data Validator is a tool to validate csv file. It parse csv and validate the data with .hdr(csv meta data) before ingestion to Data Lake. It checks data file availability for every day load and validate data with respective meta data like File Size, Checksum, Delimiter, Record count etc. It ensure landed data conformity before give go ahead for data ingestion to Data Lake. It generate complete stats or error log.
Verify Data Annotations in Yolo and PASCAL VOC Format
In the digital age, efficient data analysis is crucial. Excel's extensive capabilities make it a widely used tool for this purpose. This Excel Skills for Data Analysis and Visualization course introduces fundamental Excel techniques. After completion of notes, we will adeptly prepare data, automate analysis, and apply logical functions.
We have created this library to use common methods in android development.
FIFA World Cup Analysis Using Microsoft Excel
This repository demonstrates how to implement CRUD (Create, Read, Update, Delete) operations
A full-stack project demonstrating "file uploads to AWS S3" using "Django (backend)" and "React (frontend)".
Balance sheet and income statement to evaluate organization performance and current financial stability.
This repository showcases my work in a Data Analytics and Commercial Insights simulation. Tasks include data preparation, customer analytics, and uplift testing using transaction data to generate strategic, data-driven recommendations. Outputs include code, benchmark analysis, and reports aimed at supporting informed business decisions.
Production-ready MLOps platform for network security threat detection using machine learning and modern cloud-native architecture
application designed for efficient client profile management. It features modules for creating, storing, and retrieving client information, parsing and validating data strings, and implementing standardized interfaces to ensure consistent client operations across the application.
Pydantic - a data validation , settings managementand parsing library for Python
Manage multiple event types (Corporate, Wedding, Conference) and users with validation, custom exceptions, and reporting. Features modular architecture and interactive CLI.
Java Methods || project focuses on developing core algorithmic skills. You'll implement methods for palindromic numbers, perfect numbers, and converting numbers to words, emphasizing robust code and handling edge cases.
Spring Boot More Mapping||This Spring Boot REST API manages movies and actors with full CRUD capabilities, showcasing a layered architecture with Spring Data JPA. It efficiently handles many-to-many relationships and incorporates robust error management.
"Automated data cleaning & validation tool using AI/ML for error detection, correction, and quality scoring."
This dashboard explores patient insights, departmental performance, and billing trends using real-world healthcare datasets. Built for beginners, it demonstrates data cleaning, DAX measures, and interactive visual storytelling.
An end-to-end Excel dashboard project analyzing road accident trends, severity, and contributing factors. This beginner-friendly analysis covers data cleaning, KPI extraction, and interactive visualizations using pivot tables, slicers, and charts.
This beginner-friendly project covers the complete Power BI workflow—from data import and cleaning to DAX measures and dashboard design. It visualizes key metrics like total sales, product performance, and customer trends for retail decision-making.
Store Data Analysis using Excel, performing Data cleaning, validation, creating KPI's and finally visualizing data by creating Dashboard. Visualizing Data through Dashboard gives a quick idea of the insights.
Automated order validation system for NamasteKart that ensures clean, accurate, and business-ready retail data using Python.
Automating data processing with python and using data model with duckdb
A Next.js application that combines web scraping with Aadhaar and PAN validation to streamline KYC and data collection. It automatically extracts relevant information from websites and verifies user identity details through Aadhaar and PAN checks, ensuring accuracy and compliance.
A Python and SQL-based framework that automates data quality checks by identifying missing values, duplicates, and anomalies in datasets, and generates structured Excel reports to streamline the data validation process.
In this Project, I created a Power BI report/dashboard using Amazon Prime Movies and TV Shows data.
A console-based banking system built with C++ and OOP, featuring secure login, role-based access (Admin, Employee, Client), and file-based data storage for managing accounts and transactions efficiently.
PAN VALIDATION Using SQL and PYTHON
The TA Management System is a C++ project designed to manage records of Teaching Assistants (TAs) within a department. The system ensures that only eligible TAs—those who are currently registered students—are maintained in the records. The project involves filtering out records of TAs who have graduated and updating the TA file accordingly.
An interactive Power BI dashboard for analyzing sales performances across regions, products and time period.