🔫 The data comes from the FBI's National Instant Criminal Background Check System. The NICS is used by to determine whether a prospective buyer is eligible to buy firearms or explosives. 🔫
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Updated
Jun 21, 2024 - HTML
🔫 The data comes from the FBI's National Instant Criminal Background Check System. The NICS is used by to determine whether a prospective buyer is eligible to buy firearms or explosives. 🔫
This repository features a Covid-19 analysis and visualization project using Tableau. The project includes dashboards and storyboards that provide clear, data-driven insights into Covid-19's effects worldwide.
This versatile tool is designed for anyone in need of a robust solution for transcribing and diarizing large volumes of audio files. Whether you are dealing with terabytes or even larger quantities, our tool ensures efficient and accurate processing. Ideal for researchers, content creators, and businesses.
Data-driven analysis of inventory management and supply chain efficiency (2015-2018). Identifies key trends in product classes, sales performance, and shipping. Provides actionable insights to optimize inventory levels, reduce costs, and improve customer satisfaction in a complex supply chain environment.
📊 This Python project analyzes the top 100 highest-rated movies of the decade to uncover trends in ratings, box office collections, and voter demographics. Using libraries like Pandas, Matplotlib, and Seaborn, it provides visual insights into movies, actors, and audience preferences. 🎥📈
Penduduk Indonesia Menua? Proyek Web Storytelling untuk dilombakan dalam Data Storytelling Challenge BPS 2023
Project involves the analysis of grocery sales data from BlinkIT, to derive insights and visualize key metrics using Power BI. The dataset contains fields such as Item Fat Content, Item Identifier, Item Type, Outlet Establishment Year, Outlet Identifier, Outlet Location Type, Outlet Size, Outlet Type, Item Visibility, Item Weight, Sales, Rating.
Built a data warehouse solution to analyze the impact of health expenditure on outcomes globally in the past decade
A project that focuses on analyzing international debt for multiple countries. In this Project the main theme was to uncover insights hidden within this data, and answering pivotal questions in a friendly, storytelling fashion.
Data-driven analysis of sales performance metrics from 2014-2017, identifying key trends in product sales, regional performance, and profitability. Provides actionable insights to optimize inventory, improve profit margins, and enhance customer satisfaction in a competitive market.
Developed an ETL pipeline on AWS to conduct extensive analysis on aviation accidents in the United States
Projecto Sabores & Aromas: um dashboard interativo desenvolvido no Power BI, focado em insights de vendas, desempenho por equipe e análise de rentabilidade para optimizar decisões estratégicas.
Crop Production Analysis (1997-2014) This project analyzes crop production data from 1997 to 2014, utilizing Tableau Desktop for visualization and Excel for data cleaning. The analysis provides insights into agricultural trends, seasonal production variations, state-wise production, and area vs. production efficiency for top crops.
This projects gives the student an opportunity to demonstrate their skills in data visualization.
This project involves analyzing synthetic loan data and creating an interactive Power BI dashboard to visualize key metrics like default rates, loan distribution, and repayment trends. Tools used include Python for data preprocessing and Power BI for analysis and visualization.
Comprehensive e-commerce sales and promotions analysis (2019) using Power BI. Examines user behavior, product performance, and promotional impact across brands, categories, and states to optimize sales strategies and profitability.
Comprehensive analysis of the Movies dataset, exploring genre trends, comparisons, and qualitative insights using Python, Pandas, and visualizations. Designed to uncover actionable findings for stakeholders.
Analysis of consumer complaints in the financial services sector, leveraging data from 2013-2016. This project examines customer satisfaction, resolution times, and dispute rates across various companies and products. It provides actionable insights and recommendations to improve complaint handling processes, enhance customer satisfaction.
Storytelling Of Quarterly Performance Review Of Market
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