# Super-FAST EDA in R with DataExplorer

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This article is part of a R-Tips Weekly, a weekly video tutorial that shows you step-by-step how to do common R coding tasks.

Did you know most **Data Scientists spend 80% of their time just trying to understand and prepare data for analysis?!** This process is called Exploratory Data Analysis (EDA). R has an Insane EDA productivity-enhancer. It’s called `DataExplorer`

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Here are the links to get set up. ????

# Use DataExplorer for EDA

Exploratory Data Analysis

You’re making this DataExplorer EDA Report!

# Super-FAST Exploratory Data Analysis (EDA) in R

In this weekly R-Tip, we’re making an **“EDA Report”, created with the DataExplorer R package**. The DataExplorer Package is an excellent package for **Exploratory Data Analysis**. In fact, it’s one of my top 3 EDA Packages.

**PRO TIP**: I’ve added EDA on Page 3 of my Ultimate R Cheatsheet. ????

As you follow along, you can use my Ultimate R Cheatsheet. It consolidates the most important R packages (ones I use every day) into one cheatsheet.

# EDA Report with Data Explorer

Automatic Exploratory Reporting

One of the coolest features of DataExplorer is the ability to **create an EDA Report in 1 line of code**. This automates:

- Basic Statistics
- Data Structure
- Missing Data Profiling
- Continuous and Categorical Distribution Profiling (Histograms, Bar Charts)
- Relationships (Correlation)

Ultimately, this saves the analyst/data scientist SO MUCH TIME. ????

# DataExplorer EDA Plots

Add the important DataExplorer report plots to your R-Code

DataExplorer just makes EVERYTHING SO EASY. Here’s an example of the output of `plot_correlations()`

. In one line of code, we get a **correlation heatmap** correlation heatmap with categorical data dummied.

It gets better. Everything is one line of code:

`plot_intro()`

: Plots the introduction to the dataset`plot_missing()`

: Plots the missing data`plot_density()`

and`plot_histogram()`

: Plots the continuous feature distributions.`plot_bar()`

: Plots bar charts for categorical distributions`plot_correlation()`

: Plots relationships

Here’s the output of `plot_bar()`

. Wow – DataExplorer makes it that easy to make TIME-SAVING EDA VISUALIZATIONS.

You don’t need to be Bruce Almighty to do EDA fast anymore.

**Just.Use.DataExplorer.**

**???? Top R-Tips Tutorials you might like:**

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