Descriptive and Inferential Statistics

Exploratory data analysis (EDA) and descriptive statistics were conducted on the entire dataset to identify the nine variables most strongly correlated with purchase intentions from the original 41 variables. 

Assignment Summary

The assignment aimed to identify nine variables that had a strong correlation with purchase intentions through descriptive and inferential statistical analysis. 

Descriptive statistics, including summary tables, box plots and histograms, were used to analyse the data's distribution and central tendencies. Key findings revealed left-skewed distributions, stable standard deviations, overall customer satisfaction, and some individual variation in some categories. The box plots and histograms above illustrate what was done for all the variables in the dataset. 

For the inferential statistics, t-tests and correlation analysis was conducted through the use of the heatmap above, to identify statistically significant and strong relationships. Regression analysis then further narrowed down the most influential variables in regards to the relationships with purchase intention. The final chosen variables included:

• PI1, PI2, PI3, PI4, PV3, PPQ1, PV2, PS3, PV1

These variables were subsequently integrated into an interactive dashboard, combining them into three categories: overall purchase intentions, satisfaction, and perceived value. The dashboard demonstrates the relationships between these categories and purchase intentions. What can be seen on the dashboard is that there is a strong relationship between overall satisfaction and purchase intentions, where a large number of customers with high satisfaction demonstrate high purchase intentions. The same trend is true with overall value and overall purchase intentions. We can conclude from the dashboard that there is indeed a major effect and the variables selected are ones the store might want to emphasize to ensure the purchase intentions of the customers remain high.

Please see the following link for the coding of the above assignment and the dashboard as well as more extensive explanations in the markup code: 

Colab Assignment 2

Looker Studio Dashboard