This repository contains code and data for analyzing real estate trends, predicting house prices, estimating time on the market, and building an interactive dashboard for visualization. It is structured to cater to data scientists, real estate analysts, and developers looking to understand property market dynamics.

Collection of Python scripts I wrote for Data Viz projects

The project analysed the Air Quality Data for several cities in India over a time period. A dashboard was created using the "Shiny" package in R to display the results.

Sentimental analysis - movie review for movie "KALKI 2898 AD"

AlmaBetter Capstone Project - Unsupervised ML. Developed a book recommendation system for Amazon customers using memory and model based collaborative filtering by utilizing the description of book consumed and user interests.

This project uses the Needleman-Wunsch, Smith-Waterman, and Progressive Multiple Sequence Alignment algorithms to perform their respective tasks with 2+ sequences of the same biotype (D/RNA, AA chain). We can obtain optimal alignment results, scores, and heatmaps of the resulting matrices. for better understanding of the optimal alignment 'path'.

Esse é um projeto de Power Bi, onde foi explorado técnicas de importação e tratamento de dados, modelagem e cálculos no DAX, criação de visuais e variáveis "what-if ".

This is a very broad Python data analysis project from data cleaning and data visualization perspective.

This project is an exploratory data analysis (EDA) of a dataset containing information on Google Play Store apps. The dataset includes various features such as the app's category, rating, number of reviews, size, number of installs, type (free or paid), price, content rating, genres, last updated date, current version, and required Android version.

Unlocking the power of data visualization with R: This is a collection of data visualizations with code made with R

The project involved the exploration and visualization of a comprehensive dataset spanning the years 2012 to 2015. The dataset includes crucial information such as Order ID, Order Date, Ship Date, Ship Mode, Customer details, Product information, Sales, Quantity, Discount, Profit, Shipping Cost, Order Priority, and Returned status.

A data visualization dashboard designed to provide interactive and insightful visualizations using data from `Data.csv`. Built with a Java Spring Boot backend and React.js frontend, this project showcases various metrics such as intensity, likelihood, relevance, and more, with dynamic filters and charts for in-depth data analysis.

This project includes two Power BI dashboards for analyzing cost reduction and inventory management in the apparel industry. It helps optimize costs, improve inventory turnover, and support supplier negotiations.

Data analytics projects with Excel, SQL, Power BI, Tablue, Python.

The Amazon Power BI Dashboard Project repository provides an interactive analytics dashboard for visualizing and analyzing sales performance across various product categories within Amazon's ecosystem. Utilizing comprehensive sales data, it empowers stakeholders with actionable insights to enhance decision-making and improve business strategies.

SQL database visualization in Java

This repository focuses on visualizing the Iris dataset using various data visualization techniques. It includes histograms, scatter plots, box plots, pie charts, bubble charts, and KDE plots to provide insights into the dataset’s structure. The project utilizes Matplotlib, Seaborn, Plotly, and Scikit-learn to generate insightful visualizations.

interactive data visualization of salaries in tech built with d3.js with dataset of 62,000+ data points from levels.fyi

Welcome to EPLDataStorytelling, your portal to uncover the fascinating tales woven within the rich tapestry of the English Premier League (EPL). This repository is your gateway to a world of data-driven narratives, offering an exciting journey through the thrilling matches, iconic points, and unforgettable moments in the history of the EPL.