YujiJeong
Hi there 👋 I'm pursuing a career in data science. I'm always learning and growing 🚀 Connect with me! 🎉
Canada
Pinned Repositories
A-B_Testing
Comparing the lift in the subscription rate between the control and personalized contents across marketing channels, and conducting two sample t-test to determine if the difference is statistically significant.
Algorithm-Newton-Raphson-Method
Applying Newton's method to approximate root values
Boxplots-Hypothesis-Testings-for-Fruit-Fly-Behaviour
Conducting one-factor analysis of variance and its assumptions (normality and homogeneity of variance) with R if two groups of data show statistically different behavior. Visualizing data with boxplots to understand if the given state of the fly (fed/starved) affects the feeding and resting pattern.
Checking-Data-Quality
Checking if data well-represents the natural behaviour of consumers
Marketing-Campaign-Analysis
Measuring the success of a marketing campaign with conversion and retention rates. Analyzing which marketing channel (email, Facebook, Instagram, direct mail) had the lowest cost-per-acquisition.
Mystery-Puzzle-Data
Cleaning and manipulating mystery data with Python’s Pandas library, and visualizing with matplotlib
ShinyApp-Peaches-Visualizing-Consumer-Data
Creating a simple dashboard to visualize business activities and identify "VIP" customers based on spending and number of visits
YujiJeong's Repositories
YujiJeong/A-B_Testing
Comparing the lift in the subscription rate between the control and personalized contents across marketing channels, and conducting two sample t-test to determine if the difference is statistically significant.
YujiJeong/Marketing-Campaign-Analysis
Measuring the success of a marketing campaign with conversion and retention rates. Analyzing which marketing channel (email, Facebook, Instagram, direct mail) had the lowest cost-per-acquisition.
YujiJeong/Algorithm-Newton-Raphson-Method
Applying Newton's method to approximate root values
YujiJeong/Boxplots-Hypothesis-Testings-for-Fruit-Fly-Behaviour
Conducting one-factor analysis of variance and its assumptions (normality and homogeneity of variance) with R if two groups of data show statistically different behavior. Visualizing data with boxplots to understand if the given state of the fly (fed/starved) affects the feeding and resting pattern.
YujiJeong/Checking-Data-Quality
Checking if data well-represents the natural behaviour of consumers
YujiJeong/Mystery-Puzzle-Data
Cleaning and manipulating mystery data with Python’s Pandas library, and visualizing with matplotlib
YujiJeong/ShinyApp-Peaches-Visualizing-Consumer-Data
Creating a simple dashboard to visualize business activities and identify "VIP" customers based on spending and number of visits