University courseworkStatistics for Data Science — Data Science Specialisation (URL), T1Group project

Statistics labs in R

Credit, sales forecasting, HR, loans, bikes, diamonds and insurance with tidyverse

Problem

Guided labs from the statistics course, each on a business dataset.

Data

Credit.csv, stores_sales_forecasting.csv, «Data RRHH - fuga empleados.csv», loan_data (1).csv, bike_buyers.csv, diamantes (1).csv, insurance (train/use) and known_survival.csv.

Methods

Loading and cleaning with tidyverse/janitor, exploration with skimr (labs 1–8)
Visualisation with ggplot2 and plotly
Correlations with corrplot and imputation with mice (labs 5 and 6)

Tools

Rtidyverselubridatejanitorskimrmodelsummarymicecorrplotplotlyggthemes

University work; no claim of sole individual authorship.