Dynamic Quarto Reporting with R & Python

The report analyzes monthly sales performance data from January 2022 to December 2024, focusing on key metrics such as total orders, gross sales, discounts, returns, net sales, shipping costs, and total sales to provide insights into the company's revenue trends and operational efficiency, utilizing Python in RStudio for inline code with Quarto

Introduction to Machine Learning

This article explores the fundamentals of Machine Learning, explaining concepts, terminology, and the processes involved in training and using models to predict unknown variables using available data.

Shipment Tracking and Monitoring

Shipment tracking and monitoring involve the systematic oversight of delivery progress, enabling stakeholders to receive real-time updates and enhance operational efficiency.

Marketing A/B Testing Analysis

This project aims to analyze the effectiveness of a marketing campaign by assessing user conversions and determining the impact of ad exposure. By evaluating the data, we seek to quantify the contribution of advertisements to the campaign's success

Revenue vs Projection

This analysis provides insights into the financial performance of different regions by comparing projected and actual revenues, highlighting key areas of growth and identifying regions that require strategic attention.

Wage Analysis

This study examines employee compensation data, including gross pay and state pay, against the living wage standards across various states, providing a comprehensive view of wage adequacy and economic well-being of employees.

Neural Network Approach to Employee Attrition Analysis

This dataset contains information on 1,470 employees, exploring various demographic, job-related, and environmental factors to analyze patterns and drivers of employee attrition.

Time Series Scotty

Dive into a comprehensive exploration of time series data, leveraging sophisticated preprocessing and model selection techniques to achieve precise and reliable predictions.

Logistic Dashboard

This logistic analysis explores the key factors influencing sales, profitability, and customer satisfaction across various regions, customer segments, and product categories.

World Profession Survey

This dataset provides insights into various aspects of the data profession, including salary ranges, job satisfaction, and career transitions among data professionals.

Spotify Tracks Model

Explore how the Spotify Web API can be used to automatically retrieve and analyze track data.

Time Series Microeconomics

This project uses Microeconomic time series data to evaluate ARIMA, Holt’s Winter, STLF, and TBATS models, aiming to find the best method for profit prediction and financial planning.

Youtube Analysis

This project aims to analyze trending YouTube videos for 2023, focusing on various aspects such as views, likes, and the impact of different publishing times and categories on video performance.

Exchange Rate Analysis USD to IDR

This project analyzes currency exchange rates in a certain period using collected data. Following are the details and steps to run this application.

Coffe Trend and Recipe

In October 2023, James Hoffmann conducted a taste test with 4,000 US participants and released the survey data a month later. Each participant rated four unlabeled coffee samples. Let's visualize the key findings.

Startup Profit Prediction

This project predicts startup profits based on R&D, Administration, Marketing spending, and location using a linear regression model to analyze these variables' impact on profit.

Bank Marketing Data

The dataset is related to direct marketing campaigns of a Portuguese banking institution.

Music Streaming Platform

This dataset contains music streaming data for various artists across multiple platforms, including Spotify, YouTube Music, Joox, and Apple Music.

Analyzing Crime Trends: Merging and Exploring Bedfordshire and Essex Police Data

The dataset consists of police data from the Bedfordshire and Essex police forces, covering a period from 2019 to June 30th, 2022.

Global Energy Transition Statistic

Access 2023 world energy and climate data and key decarbonisation indices through Enerdata's interactive data tool.

Overview Super Store

The dataset contains information about products, sales, and profits that you can use to identify key areas of improvement within this fictitious company.

Ecommerce Superset

The dashboards provide insights into various aspects of the Olist dataset, including product performance, sales trends, customer profiles, and more.