## Flow Crash Course - Part 4 - Basic Data Summary Functions

This is the fourth blog post in our crash course series on Flow. This section will focus on basic exploratory / data summary actions in the Flow Computing Framework.

This is a continuation of the prior section in this series: Working Data Actions.

Summary functions are useful for performing an initial exploratory analysis of data collections. Topics covered in this section include:

- The Describe Data Function (Generate Descriptive Statistics Profile)
- The Fast-based Correlation Analysis Function (Evaluate correlations against a data point of interest)
- How to Perform an Analysis of Blanks/Missing Values
- Creating a Simple Frequency Distribution (Histogram)

If you do not have a Flow account - register here. Flow Community is FREE for personal use.

After you finish this section, you will be ready to move on to Generic Expressions and Data Point Computing.

Check out the fourth video in our series below: