This presentation contains a brief introduction and the link to the application I designed for the final project of the course Developing Data Products by Johns Hopkins University

Proyecto Final-VDPP

This analytic tool provides a series of useful descriptive statistics for evaluating a given data variable including (but not limited to): number of valid values, percentage of missing values, number of unique values, proportions of binary variables, min/max values, arithmetic mean, standard deviation, variance, standard error, 95% confidence interval around the mean, skewness, kurtosis, and the D'Agostino-Pearson K^2 Test for Normality.

Based on data obtained from from https://www.police.uk/. Covers the data range 03-2023 to 03-2025. Violent crimes have been cumulatively summed and spatially interpolated, resulting in a heat map.