README.md

In johnaclouse/eeda: Univariate and bivariate exploratory data analysis, but extra

eeda

Extra Exploratory Data Analysis

Action items

• Add geospatial visual - median/mode by census tract

• Add geospatial visual - incidence rate of top 20% value individuals per census tract. Top 5% and top 1%

• Move alignx_n from curios to eeda

• Find right home for scale_min_max

• Create autoscale feature. More than three decades becomes psuedo log scaled. Check negative numbers, zero, and numbers very close to zero.

• Add mean standardized difference table for key measures

• Pull plot_colors out as function argument

• Create a eeda color palette

• Create separate targets for rfm and for broad measures

• Create two simple vignettes:

• eg variables for univariate

• rfm variables for bivariate (add three independent variables and use rfm as key variables along with age)

• evaluate calls to edarf package for partial dependence (not available on cran and no updates in last 4 years). Consider lares::dalex_variable

Reference

• Inspiration for color palettes https://www.designwizard.com/blog/design-trends/colour-combination

johnaclouse/eeda documentation built on July 22, 2022, 12:16 a.m.