Reference

ExPanD app Shiny-based app for interactive exploratory data analysis
ExPanD()	Explore Your Data (ExPanD)
Workflow functions Functions, mostly also used by ExPanD, that facilitate a typical exploratory data analysis workflow
prepare_missing_values_graph()	Prepares a Graph Displaying Missing Values in Panel Data
treat_outliers()	Treats Outliers in Numerical Data
prepare_descriptive_table()	Prepares a Table of Descriptive Statistics
prepare_ext_obs_table()	Prepares a Table Displaying Extreme Observations
prepare_by_group_bar_graph()	Prepares a by Group Bar Graph
prepare_by_group_trend_graph()	Prepares a By Group Trend Graph
prepare_by_group_violin_graph()	Prepares a by Group Violin Graph
prepare_trend_graph()	Prepares a Trend Graph
prepare_quantile_trend_graph()	Prepares a Quantile Trend Graph
prepare_correlation_table()	Prepares a Correlation Table
prepare_correlation_graph()	Prepares a Correlation Graph
prepare_scatter_plot()	Prepares a Scatter Plot
prepare_regression_table()	Prepares a Regression Table
Data Data set used to showcase the functionality of ExPanD. ‘russell_3000’ is a set of financial accounting and stock return data for a sample of U.S. firms that are members of the Russell 3000 index. ‘worldbank’ is a country year panel of macro-economic data provided by the World Bank API.
russell_3000	Annual Financial Accounting and Stock Return Data for a Sample of Russell 3000 Firms (2013-2016)
russell_3000_data_def	Data Definitions for russell_3000 Data Set
ExPanD_config_russell_3000	Default Configuration to use with ExPanD and the Russell 3000 Data Set
worldbank	A Snapshot of Macroeconomic Data as Provided by the World Bank API (1960 - 2018)
worldbank_data_def	Data Definitions for worldbank Data Set
worldbank_var_def	Variable Definitions to Construct an Analysis Sample Based on the worldbank Data Set
ExPanD_config_worldbank	Default Configuration to Use with ExPanD and the worldbank Data Set