🌀 Rapidly build feature-rich data portals using a modern frontend framework. Native CKAN support. OpenMetadata and Git compatible.
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Updated
Sep 26, 2025 - TypeScript
🌀 Rapidly build feature-rich data portals using a modern frontend framework. Native CKAN support. OpenMetadata and Git compatible.
Lesson guide and textbook for "Data as a Science" course.
🌀 The JS data presentation framework. For a single dataset to a full catalog.
Tool to assemble HTML reports using python components with charts and diagrams.
PC application to communicate with an Edimax SP2101W smart plug and to collect measured power data from it
Udacity Nanodegree Program, a data analysis project using the Pisa2012 dataset.
📑 SPA application for convenient presentation and work with large arrays of data, sorting, search, editing data
Use the Layout View as a master View in master-detail mode.
🔷 Data Cleaning and Insight Generation from Survey Data 🔷 Cleaned and preprocessed Kaggle’s Data Science Survey data, handling missing values, duplicates, and categorical responses. Applied label encoding and normalization to prepare the dataset for analysis. Built 12+ visualizations (pie, scatter, box, line, heatmap, etc.)
This data contains 113,937 loans with 81 variables on each loan, I have provided 30+ visualizations of a selected few variable features that best explain and give insights to how loans are measured and to what factors that determine a loan interest
Data analysis app built by pyqt5 & various machine learning libraries
This repository is a collection of all the solutions of tasks that were assigned to me during my Data Analytics Virtual Internship Experience Program at Quantium. 💻📚📊
Visualize many-to-many relationship of Entity Framework objects.
I chose a dataset from kaggle and performed an EDA, over 30 insights (visualization) was produced. The key insights is presented in a Jupyter Notebook slide..
This repo seeks to Explore The Variables That are Pivotal In Predicting a Borrowers Loan outcome.
Data Analysis of Sprocektly Central Private Limited
A graphical user interface (GUI) application for selecting and analyzing HDsEMG channels from .mat files. This tool helps identify and exclude faulty channels (e.g., due to electrode misplacement or corrosion) from HDsEMG recordings, enabling more accurate and efficient analysis.
Show progress text along with a progress bar in the exported document.
KPMG Data Analytics Consulting Virtual Internship
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