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Statistical Analysis

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Uplift Analysis

A data-driven project focused on evaluating the effectiveness of a new advertising strategy through A/B testing. By analyzing the differences between a control group and an exposed group, we assess the impact of ads on user engagement and conversions. The ultimate goal is to identify the most effective strategy for improving customer responses and return on investment (ROI).

Understanding Titanic

A data analysis project focused on Exploratory Data Analysis (EDA) and Feature Engineering using the famous Titanic dataset. The goal is to extract meaningful insights, understand survival patterns, and engineer relevant features to improve predictive modelling.

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User Retention Segmentation

This project focused on analyzing user behaviour, retention trends, and segmentation using statistical and exploratory data analysis techniques. The project utilizes customer purchase data to extract insights that help businesses improve retention strategies and customer engagement.

Analysis Corr with SPSS

This project aims to analyze the relationship between the number of companies and the number of workers in Central Java Province in 2019. The Pearson product-moment correlation can be used to indicate whether there is a relationship between the independent variable X and the dependent variable Y. From this research, a correlation coefficient of 87% was obtained between variables X and Y, which is positive. The results of this research reveal the fact that many companies have a significant impact on the number of existing workforce.

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Analysis Corr with Minitab

This project analyzes the relationship between land area and crop production in each province in Indonesia in 2021 using the Pearson Product Moment Correlation method. With the help of Minitab software, this study measures the strength and direction of the relationship between the two variables to identify significant patterns. From this research, a correlation coefficient of 99% was obtained between variables x and y, and it is positive.

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