EDA

Manual Summaries

With a new dataset, answer the followings using its codebook if available or via some search and/or asking if not.

What is its source?
How it was obtained?
Who collected it?
When it was collected?
What does each column/variable represent?
What does each row/observation represent?

Computational Summaries

After that, answer the following questions through computations:

How many columns/variables?
How many rows/observations?
What is the data type of each column/variable?
What are the top few rows/observations?
What are the bottom few rows/observations?
How many missing values in each column/variable?
How many rows/observations contain 1+ missing values?
What is the summary statistics of each column/variable?

In a blog post, Michael Clark demos eight R packages(html) that can help explore data quickly and effectively. The demoed packages are: arsenal, DataExplorer, dataReporter (dataMaid previously), gtsummary, janitor, SmartEDA, summarytools, and visdat.

## EDA

### Manual Summaries

With a new dataset, answer the followings using its codebook if available or via some search and/or asking if not.

- What is its source?
- How it was obtained? 
- Who collected it?
- When it was collected?
- What does each column/variable represent?
- What does each row/observation represent?

### Computational Summaries

After that, answer the following questions through computations:

- How many columns/variables?
- How many rows/observations?
- What is the data type of each column/variable?
- What are the top few rows/observations?
- What are the bottom few rows/observations?
- How many missing values in each column/variable?
- How many rows/observations contain 1+ missing values?
- What is the summary statistics of each column/variable?

[In a blog post, Michael Clark demos eight R packages(html)](https://m-clark.github.io/exploratory-data-analysis-tools/) that can help explore data quickly and effectively.
The demoed packages are: [arsenal](https://mayoverse.github.io/arsenal/), [DataExplorer](https://boxuancui.github.io/DataExplorer/), [dataReporter](https://github.com/ekstroem/dataReporter) ([dataMaid](https://github.com/ekstroem/dataMaid?tab=readme-ov-file) previously), [gtsummary](https://www.danieldsjoberg.com/gtsummary/), [janitor](https://sfirke.github.io/janitor/), [SmartEDA](https://daya6489.github.io/SmartEDA/index.html), [summarytools](https://github.com/dcomtois/summarytools), and [visdat](https://docs.ropensci.org/visdat/).