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Create_report() function

As explained in Statistics Slam Dunk

The DataExplorer create_report() function generates an interactive HTML data profiling report by running multiple exploratory analysis functions.

DataExplorer’s create_report() function turns a prepared data set into a comprehensive, interactive HTML profiling report. It automatically runs multiple exploratory data analysis functions, gathers their visual and statistical results, and produces a standalone artifact that can be saved and shared. section 17.4.2

Profile NBA over/under data

After preparing the oddsdf3 data set, run create_report(oddsdf3). The resulting report can summarize basic statistics, data structure, missing values, distributions, correlations, and categorical variables with much less code than a manually assembled EDA workflow. section 17.4.2

create_report(oddsdf3)

Run the complete profiling report on oddsdf3 with a single function call. section 17.4.2

How Statistics Slam Dunk covers it

How deep it goes
Generates statistics and numerous diagnostic plots, but stops short of the focused, low-noise interpretation possible with manual EDA.
Examples
Uses the NBA oddsdf3 data set and produces an interactive HTML report containing basic statistics and multiple diagnostic visualizations.
What it assumes
Assumes a prepared data set such as oddsdf3 and basic R data-handling ability.
What you can do after
Apply it via DataExplorer to generate, save, and share a broad data profiling report from a prepared data set.
How it connects
Connects automated profiling with exploratory data analysis, missing-value analysis, distributions, correlations, and categorical-variable summaries.
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Related concepts

This explainer was generated by Manning's knowledge graph from the text of Statistics Slam Dunk. The section links point to the parts of the book it draws on.