This function correlates a whole dataframe with a single feature.
corr_var(df, ..., ignore = NA, method = "pearson", trim = 0,
clean = FALSE, plot = TRUE, logs = FALSE, dates = TRUE,
top = NA, ceiling = 100, zeroes = FALSE, save = FALSE,
subdir = NA, file_name = "viz_corrvar.png")Dataframe.
Object. Name of the variable to correlate
Character vector. Which columns do you wish to exlude?
Character. Any of: c("pearson", "kendall", "spearman")
Integer. Trim words until the nth character for categorical values (applies for both, target and values)
Boolean. Use lares::cleanText for categorical values (applies for both, target and values)
Boolean. Do you wish to plot the result? If set to TRUE, the function will return only the plot and not the result's data
Boolean. Automatically calculate log(values) for numerical variables (not binaries)
Boolean. Do you want the function to create more features out of the date/time columns?
Integer. If you want to plot the top correlations, define how many
Numeric. Remove all correlations above... Range: (0-100]
Do you wish to keep zeroes in correlations too?
Boolean. Save output plot into working directory
Character. Sub directory on which you wish to save the plot
Character. File name as you wish to save the plot
Other Exploratory: corr_cross,
crosstab, df_str,
distr, freqs_df,
freqs, gain_lift,
get_tweets, missingness,
plot_cats, plot_df,
plot_nums, tree_var,
trendsRelated
Other Correlations: corr_cross,
corr_plot, corr