If you have multiple columns of data and would like to stack your data into a single column, use this tool. It will automatically place a blank row between your different data sets!

NOTE: Included in the January 2021 release, this functionality is utilized if an end user has multiple columns in their data set and chooses to create a single-column Variable Control Chart (e.g. XmR Chart).

Data Before

Data After

multiple-column data stacked into one column with blank row between

Stack Data by Columns

Sometimes you need to stack several columns of data into fewer columns or even into one column. QI Macros will prompt you for how many columns of data you want to end up with. In this example, we chose "1". QI Macros leaves the original data and makes a copy into the new format:

Data Before

Prompt

Data After

Stack or Restack (e.g., from 6x6 to 3x12)

Stack or Restack takes any size table and switches the data into as many columns as you choose. You can increase or decrease the number of columns:

Data Before 6x6 Table

Prompt

Data After 3x12 Table

Unstack by Label

Unstack by Label takes any size table and unstacks it based on the labels in column A:

Data Before

Data After

Unstack by Multi Label

This functionality is designed to take a column of data that has multiple labels (e.g., entity and shift) and group it into columns for each label combination (e.g., entity - shift):

Data Before

Data After

Unstack by Subgroup

Using any number of columns, Unstack by Subgroup will use the number of samples per subgroup (in this case 4) and unstack the data. This function is generally used to go from one column to many:

Data Before

Prompt

Data After

Unstack Matrix to List

This functionality is designed to take a group of multi-column data that has multiple labels and groups them into a single-column list of data:

NOTE: Included in the April 2020 release, the Unstack Matrix is now able to process zeroes within your data set.

Data Before

Data After

Generate a Random Sample

This functionality is designed to take either a single or multi-column set of data and put it into random order, depending on the number of samples you would like to randomize.

To do so, simply highlight your data:

highlight-data-before-randomizing

Select "Random Sample" from the "Restacking" menu -
Input the "Number of Samples" you would like to randomize:

how-many-numbers-in-your-random-sample

Do you have any headers in your data set?
(NOTE: You do NOT need to include headers in your data set):

does-your-data-have-headers

You will then be provided with a randomized set of data based upon the number of samples you chose to generate.

One example of how this tool could be used, is if you have a large set of data and want to create a Pareto Chart.

Instead of creating a Pareto out of the ENTIRE data set (e.g., 500,000 rows), you could generate a random sample out of 100 of those points and THEN create your Pareto.

NOTE: This functionality is included in the October 2022 release.

Replace Zeros with Blanks

This functionality is designed to analyze your data set and remove any zeros and/or decimal zeros, replacing them with blank cells, instead. This should be used if you do not want zeros to be calculated within your data set, because Excel treats zeros as data points - not as blanks.

To use this macro, simply highlight your data:

highlight-data-before-running-replace-zeros-with-blanks

Select "Replace Zeros with Blanks" from the "Restacking" menu -
The zeros in your data set will be turned into blank cells:

output-after-replacing-zeros-with-blanks

NOTE: This functionality is included in the January 2023 release.

Insert Table without Formatting

When inputting a table into an Excel spreadsheet or template, Microsoft Office automatically removes all previous formatting from your spreadsheet and inputs Excel's default formatting instead.

This tool, allows the end user to insert a table into their Excel spreadsheet without their formatting changing!

To use this macro, simply highlight your table range:

insert-table-template-example