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

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.

To be discussion project

Uncover the factors that lead to employee attrition and explore important questions such as ‘show me a breakdown of distance from home by job role and attrition’ or ‘compare average monthly income by education and attrition’. This is a fictional data set created by IBM data scientists.

In this project, we will use the Microeconomic time series data from the Time Series Data Library to develop and evaluate four forecasting models—ARIMA, Holt’s Winter, STLF, and TBATS—to determine the most accurate method for predicting future profits and enhancing strategic financial planning.

The behavior between valence and all the measures provided by the Spotify API was analyzed with approximately 10,000 tracks per genre. With 26 genres, a total of 232,725 tracks were used.

James Hoffmann conducted live taste tests with about 4,000 people in the US. A month later, he released survey data for a taste test, with each participant submitting four unlabeled coffee samples.

The dataset we see here contains data about 50 startups. Using regression models to predict which investment expenditures maximize profits.

The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution Bank | Campaign | Portuguese

Category Gaming | Top 10 Gaming Channel | Average Views For Gaming Category