In JaeWHam/WorkSample: Extract information about consumer complaints

knitr::opts_chunk$set(
  collapse = TRUE,
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  fig.path = "man/figures/README-",
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CCDB

The goal of CCDB is to not only make it easier for a user to acquire data from the consumer complaints database, it also provides useful information and summaries. It entails multiple functions that tailors its search, and produces an output of either a dataframe or a visualization chart/graph depending on the function. Even though all functions are made to work on their own, some functions are better used in combination with others.

Vignette

Please refer to the vignette for a more complete and detailed information about the original consumer complaints database, rationale for the API R package, individual functions, and examples.

Examples

library(CCDB)
# example of product function for debt collection
product_function(product="Debt collection",subproduct_option = TRUE,state_option=TRUE)

#example of general function for Bank of America, National Association
general_function(company = "BANK OF AMERICA, NATIONAL ASSOCIATION",product = "Checking or savings account",issue="Managing an account", limit=10)

#example of visualization tool using sample df
visualization_tool_function()

#example of visualization tool using the outputs of product function for Debt collection
example1<- product_function(product="Debt collection")
#using the subproduct category dataframe from the output
visualization_tool_function(example1[1],limit=10)

#example of heatmap state visualization tool using sample df
heatmap_state_function()

#using the output of product function for Student loan
example2 <- product_function(product="Vehicle loan or lease")

#selecting the second dataframe, as that is the one with the state attributes and values
heatmap_state_function(example2[2])