Allow for filtered correlation plots

[RoelVerbelen]

Great package for exploratory data analysis, thanks for sharing!

Could the package enable filtering results before plotting? I'd love to be able to do something like this:

# Load packages
library(inspectdf)
library(dplyr)

# Single dataframe summary
inspect_cor(starwars)
#> # A tibble: 3 x 7
#>   col_1      col_2    corr p_value  lower  upper pcnt_nna
#>   <chr>      <chr>   <dbl>   <dbl>  <dbl>  <dbl>    <dbl>
#> 1 birth_year mass    0.478 0.00602  0.177  0.697     41.4
#> 2 birth_year height -0.400 0.0114  -0.625 -0.113     49.4
#> 3 mass       height  0.134 0.316   -0.127  0.377     67.8

# Filter
inspect_cor(starwars) %>% 
  filter(abs(corr) > 0.2)
#> # A tibble: 2 x 7
#>   col_1      col_2    corr p_value  lower  upper pcnt_nna
#>   <chr>      <chr>   <dbl>   <dbl>  <dbl>  <dbl>    <dbl>
#> 1 birth_year mass    0.478 0.00602  0.177  0.697     41.4
#> 2 birth_year height -0.400 0.0114  -0.625 -0.113     49.4

# Filter and plot
inspect_cor(starwars) %>% 
  filter(abs(corr) > 0.2) %>% 
  show_plot()
#> Error: Tibble columns must have consistent sizes, only values of size one are recycled:
#> * Size 2: Existing data
#> * Size 3: Column `pair`

^{Created on 2020-02-21 by the reprex package (v0.3.0)}

When you have a lot of features, you want to focus only on relevant correlations and avoid clutter.

[alastairrushworth]

Hi @RoelVerbelen thanks a lot for the report, this should now work on the GH version. CRAN update to follow in a week or so.

Thanks! Alastair

[RoelVerbelen]

Fantastic, thanks Alastair!