RtutoR (version 1.2)

generate_exploratory_analysis_ppt: Generate Exploratory Analysis Report

Description

Generate Exploratory Analysis Report

Usage

generate_exploratory_analysis_ppt(df, target_var, output_file_name,
  n_plots_per_slide = 2,
  plot_theme = "ggthemes::theme_fivethirtyeight()", group_names = NULL,
  top_k_features = NULL, f_screen_model = c("chi.squared",
  "information.gain", "gain.ratio", "symmetrical.uncertainty"),
  max_levels_cat_var = 10)

Arguments

df

Dataframe object for exploratory analysis

target_var

Dependent Variable Name

output_file_name

File Name for the Output presentation. Saves the output in the current working directory if only the file name is provided

n_plots_per_slide

Presentation Slide Format - Choose between 1 or 2 plots per slide. Default value is 2

plot_theme

Specify a theme for ggplot. Includes themes provided as part of ggplot2 as well as themes available in the ggthemes package. Launch the shiny app to view the valid set of themes available

group_names

Grouping variable (or multiple grouping variables) to be used for analysis. if this argument is supplied, an additional section is added to the Exploratory Analysis report: "Bi variate Analysis with Grouping variable".

top_k_features

Should top k features be selected for analysis instead of all available features in the dataset.If yes, provide a numeric value to this argument. The Top K features are identified based on a filtering approach. Four different filtering options are provided (from the FSelector package)

f_screen_model

Filtering approach for extracting the top k features

max_levels_cat_var

Remove categorical features with more than a specified number of levels. Default is 10

Value

Output presentation with Univariate and Bi-variate analysis and plots

Examples

# NOT RUN {
 
# }
# NOT RUN {
diamonds_sample <- ggplot2::diamonds[sample(1:nrow(ggplot2::diamonds),size=1000),]
generate_exploratory_analysis_ppt(df = diamonds_sample, target_var = "price")
# }
# NOT RUN {
# }