# Flip Side

hoFlip Side is a useful analytic tool built directly into Datameer workbooks. This feature gives you instant measurements from every sheet in your workbooks. It's a way to get a quick visualized data overview with a click rather than having to perform the calculations manually.

## Accessing Flip Side

- Open a workbook.
- Navigate to the sheet.
- Open the Flip Side analytics by going to
**View**and selecting**Flip****Sheet**, or click the**Flip****Sheet**button.

The Flip Side analytics from the sheet are displayed.

## Find if the Flip Side is Running from Full or Preview Data

### Datasource

When viewing a sheet from a datasource, the Flip Side calculates the full data from the data source. Column metrics are provided by the import job.

### Calculation sheet

When viewing a Flip Side sheet that is a calculation, join, or union the Flip Side calculates preview data until the workbook has been processed. Column statistics are based on preview data only. Run the workbook to see full data.

### Worksheet linked from a separate workbook

When viewing a Flip Side sheet that is a sheet linked from a different workbook, the Flip Side calculates preview data until the external workbook has been processed. Column statistics are based on preview data only. Run the workbook to see full data.

### Data link

When viewing a Flip Side sheet from a data link source, the Flip Side calculates preview data only. Full data is not available from a data link source. Column statistics are based on preview data only. Full data statistics are not available for unkept data link sheets.

## Reading Flip Side charts

The Flip Side charts show pre-calculated analytics of a worksheet based on either the preview data or full records. These metrics give users insight into a quick summary of the worksheet. The tilda symbol () indicates that the number shown is an approximation.

### Categories of worksheet metrics

The **Distribution** row displays a histogram of each column separating data into relevant groups. Running the mouse cursor over the histogram displays the group size and count.

The **Count** row displays a rounded count of records for easy visibility, the exact number of records, and a bar showing the number of empty records - the fraction of empty records is shown as a white colored section of the bar.

The **Unique** row displays an estimated, rounded count of unique records and an estimated number of unique records of a column.

The **Min** row displays the lowest number of a row. If the data field is a date, the earliest date is displayed.

The **Max** row displays the highest number of a row. If the data field is a date, the most recent date is displayed.

The **Mean** row displays the average number of a row by adding the records and dividing by the number of records (including empty records). If the data field is a date, the date directly between the earliest and most recent date is displayed.

## Flip Side Calculations (Advanced)

The following information gives greater detail how Flip Side calculations are created.

### Numerical histograms

Histograms on a Flip Side sheets that represent numbers with very few unique values are displayed categorically as opposed to a range. This change better represents the data so analysts are given a clear view of the data's shape. These are approximate, not exact, values. (To compute the exact count, use the GROUPBYBIN and GROUPCOUNT functions in a workbook.)

#### How the x-axis is calculated for numerical data

- Up to 32 most frequent bins.
- Breaks are found by splitting from minimum to maximum into 32 equal width bin bars.

#### How the y axis is calculated for numerical data

- Shows the count of how many records fall in the range of that bin.
- Shown is an estimate of the true count, (not sampling) due to single pass over data.

### Non-numerical (categorical data) histograms

These are approximate values. Datameer populates the histograms using a single pass over the data. A single pass top k algorithm is used to determine the categories for the bins.

#### How the x-axis is calculated for categorical data

- Uses all possible different values to make the bins.
- If greater than 32 values exist, the 32 most frequent are used to make the bins.

#### How the y-axis is calculated for categorical data

- Shows the count of the number of records of the bins.

### Empties and nulls

#### Histograms

In the histogram, null values are ignored. Empty strings can be used as a bin.

#### Count

Records with null or empty values contribute to the count. Hovering over the bar shows how many were null (but not empty even though it says "empty").

#### Unique (cardinality)

Null values don't contribute to unique. Empty strings do contribute.

#### Minimum, maximum, average

Null is ignored for minimum, maximum, and average.

### How estimates are calculated

Data shown on the Flip Side is based off the full data if the workbook has been run. Otherwise, it is based on the sample data.

### Flip Side permissions in a workbook

If you have view access to a workbook, you can see any Flip Side in the workbook.

## Special Flip Side Data for Smart Analytic Sheets

## Administrators

Administrators have the ability to disable full metric calculations for reasons such as controlling performance characteristics.