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)
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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: