Section Table Generator Help

Table of Contents

Overview

The Section Table Generator is a World-Wide Web tool that allows users to access information about GVSU courses and sections over the internet.   Using the table generator, getting the information you want about GVSU section offerings is a simple drag-and drop process, but the tool has the flexibility to help you get exactly the data you need without a lot of unnecessary information.

The table generator consists of two principal sets of components:

  1. About 25 colored boxes which represent the section characteristics that can appear in your table ("Pods");
  2. A gray table diagram (at the bottom of the page), with white boxes representing the ways the data can appear in the table ("Slots").
You design your table by choosing the pods you want and putting them into the slots where you want them.

For example, if you put the Section Location pod into one of the of the slots labeled "Row", it would specify a table that looks something like this:

Number of Sections
Section Location
ALLENDALE CAMPUS2748
GRAND RAPIDS CAMPUS897
MUSKEGON29
OTHER GRAND RAPIDS LOCATIONS10
HOLLAND81
OUT OF COUNTRY9
OTHER MICHIGAN LOCATIONS68
TRAVERSE CITY38
OUT OF STATE2
Total3882

The table shows the course sections taught at each of GVSU's campuses (and at some other locations), with the locations listed down the left side of the table. (You specified Section Location as a "Row" variable, so the table has a row for each location.) If you put Section Location in one of the slots labeled "Column" instead, the table would look like the following, with the locations listed across the top of the table:

Section Location
ALLENDALE CAMPUS GRAND RAPIDS CAMPUS MUSKEGON OTHER GRAND RAPIDS LOCATIONS HOLLAND OUT OF COUNTRY OTHER MICHIGAN LOCATIONS TRAVERSE CITY OUT OF STATE Total
Total 2748 897 29 10 81 9 68 38 2 3882

When you've designed your table the way you want it to appear, click the "Submit Request" button, and your table will be created exactly as you've requested, and you can read it in your browser, print it, go back and modify the specifications, or open it up as a spreadsheet.

The parts of the window:

There are 3 general parts to the table generator page:
  1. The available pods -- Here you'll find all of the variables you can use to design your table.
  2. The table diagram -- This is where you create your table layout. The white boxes are empty slots.
  3. Help and Table options -- The buttons on the left side of the page allow you to (a) access this help page, (b) specify whether you want an HTML table or a Microsoft Excel spreadsheet, (c) save or restore a pre-defined table layout, (d) submit your table request, or (e) reset all parameters to their initial values.

How to move a pod:

The easiest way to move a pod is just to click it and drag it to where you want it to be. Use the left mouse button to click and drag the pod, and release the button over the desired location to drop the pod. Pods can only be dropped in appropriate slots or in their "home" location. If you drop a pod anywhere else on the page, it will return to its "home" location. The home location is the space reserved for the pod in the list of available pods (the upper 2/3 of the page).

You can also move a pod by using its options menu. Left click on the pod to view the list of actions you can take with the variable. Among the options listed will be a list of places where the pod can be moved. These options will include some, but not all, of the following:

If you move a pod (either by drag-and-drop or the pod options menu) to a slot that is already occupied by another pod, the pods will trade places, with the displaced pod going to the place where the pod you moved started. (If the pod you moved was in its "home" location, the displaced pod will go to its own home, not to the exact spot where the new pod was located.) If the displaced pod is not allowed to occupy the slot from which you moved the new pod, the displaced pod will go to its home location instead.

Other things you can do with a pod:

In addition to moving a pod into, around in, or out of the table, there are several other useful actions available from the pod options menu. Not all options are available for all pods, and some options are context-sensitive -- they only appear on the options menu when the situation makes them appropriate.

The following actions may be available from the options menu:

The parts of the table (the slots)

A table can show your information in up to four different ways: across the columns of the table; down the table in rows; broken up into many different table pages; or as the data element summarized within the table's individual cells.  The following example illustrates the 4 types:

Data = Number of Sections

Course Prefix = FRE

Course Level
Lower-division Upper-division Total
Instructor Rank
Assistant Professor 4 6 10
Associate Professor 1 2 3
Total 5 8 13


In the tables to the left, Course Level is laid out as a "Column" variable, while Instructor Rank is shown as a "Row" variable.  Course Prefix is a "Page" variable here, meaning that a separate table is created for each subject area.  Finally, the "Data" element for these tables is Number of Sections , so each cell shows the number of sections with the characteristics described by the "Column", "Row", and "Page" variables. A table with two data elements, Number of Sections and Student Credit Hours, is shown below.  In it, the data elements are arrayed horizontally, as if they were values of a "Column" variable.

Data = Number of Sections

Course Prefix = GER

Course Level
Lower-division Upper-division Total
Instructor Rank
Assistant Professor 2 1 3
Professor 1 5 6
Total 3 6 9

Course Prefix = FRE

Data Type
Number of Sections Student Credit Hours
Instructor Rank
Assistant Professor 10 446
Associate Professor 3 142
Total 13 588

The Table Generator allows you to select up to 2 column variables and up to 2 row variables.  You can select one page variable and up to 4 data elements.  If you select more than one data element, a new pod, Data Variables, will appear in your table diagram. This pod is a placeholder that controls how the multiple data variables will be dispayed in your table. You can move it around in your table (to other "Column", "Row", or "Page" slots), but the only way to remove it from the table is to remove "Data" variables until only one "Data" slot is occupied, at which time the Data Variables pod will disappear. The Data Variables pod will initially be placed in an empty "Column", "Row", or "Page" slot if possible. If all of those slots are filled, Data Variables will displace the pod in the second "Column" slot.

The following tables illustrate effects of different placements of Data Variables:

The significance of order within table dimensions

With both the column and row elements, you have the option of nesting variables. Nesting a variable means that the different levels of the second variable will be shown for each level of the first variable.  For the "Column" slots, a variable in the right-hand slot will be nested within the variable in the left-hand slot. For "Row" variables, the variable in the lower slot is nested within the variable in the upper slot. In both cases, if there is only one variable specified for that particular dimension (that is, only one "Column" variable or only one "Row" variable), it makes no difference which of the two slots it occupies.

The tables below give examples of nested "Row" variables. In the first table, Course Level values are nested within Night/Weekend categories, while the second table has Night/Weekend nested within Course Level. Note that the same data are displayed either way, although the presentation differs slightly.

Number of Sections
Night / Weekend Course Level
Evening and Weekend Undergraduate3
Graduate 24
Total27
No Evening or Weekend Undergraduate2817
Graduate 449
Total3266
Evening Undergraduate382
Graduate 174
Total556
Weekend Undergraduate5
Graduate 28
Total33
Total Undergraduate3207
Graduate 675
Total3882
Number of Sections
Course Level Night / Weekend
Undergraduate Evening and Weekend 3
No Evening or Weekend2817
Evening 382
Weekend 5
Total3207
Graduate Evening and Weekend 24
No Evening or Weekend449
Evening 174
Weekend 28
Total675
Total Evening and Weekend 27
No Evening or Weekend3266
Evening 556
Weekend 33
Total3882

For "Data" variables, slot order only affects the order in which the types of summary data appear. For example, the first table below has Number of Sections before Number of Seats, while the second table has their positions reversed.

Data Type
Number of SectionsNumber of Seats
Course Level
Undergraduate3491103920
Graduate 66614255
Total4157 118175
Data Type
Number of SeatsNumber of Sections
Course Level
Undergraduate103920 3491
Graduate 14255 666
Total118175 4157

Table Layout Hints

As a rule, you should make your tables as uncomplicated as possible.  The more variables you add to the table, the larger and more unwieldy your table becomes.  At the extremes, your table can become so large that it taxes our server and slows your web browser to a crawl.  Here are some hints for laying out tables that will give you the information you want without tons of unwanted data:
  1. Only use variables that you actually need.
  2. Use record selection to trim the amount of data your table presents.
  3. If you use variables with lots of different values (like SECTION ID or INSTRUCTOR), use them as row variables, since row variables take up much less space on your screen or page than column or page variables.

Record selection:

By using the pods' Record Selection windows, you can modify your table request to only include information about the sections that are of interest to you, For example, you can create a table of only Marketing sections, or only undergraduate courses, or sections offered on-line.

You can access the Record Selection window for a variable by choosing "Use it for record selection" from the pod's options menu. Note that a variable does not need to be part of your table layout to be used for record selection.

The Record Selection menu will take one of three forms. For continuous variables, you are asked to designate a range of values to include (or exclude); for variables with discrete values you are given a selection list of possible values; for some variables containing text data, you provide a text string (with wild cards) to compare to data values.


Applying your selection

When you have designated your selection criteria, click the "Done" button. The pod for which you just created selection criteria will now have asterisks (*) in its upper corners as a visual reminder that you have made exclusions. (Note that Term always has this appearance. See below for an explanation.)

If you specify selection criteria for more than one variable, those criteria are compounded -- sections must meet all selection criteria to be included in the table. For example, if you select undergraduate courses under Course Level and "SCH OF COMMUNICATIONS' for Department you will get data only for sections that are at the undergraduate level AND offered by Commmunication. (In logic terminology, you're making "and" operations, not "or" operations.) With these selections you could get the following table showing where School of Communication's various types of sections have been offered:

Section Location
ALLENDALE CAMPUSGRAND RAPIDS CAMPUS HOLLANDTotal
Course Prefix
CAP35 9  44
CBR23 1  24
CFV34   34
CJR21   21
COM64 8 6 78
CPH32   32
CTH25 1  26
Total234 19 6 259

To remind you that your table shows a subset of GVSU sections rather than the entire population, there will be a small extra table at the end of each report that summarizes the selection criteria you submitted.  For the example above, the summary table looks like this:

Summary of Record Selection Criteria

CharacteristicSelected Values
Term Fall 2004
Department SCH OF COMMUNICATIONS
Course Level 000-level
100-level
200-level
300-level
400-level
Scheduled Hours 0.1-HIGH
(Note that in this case the summary also shows the criterion "Scheduled Hours: 0.1-HIGH". This is a default setting for the Section Table Generator. It causes only "for-credit" courses to be included. If you want, you can clear this criterion or replace it with one that suits your data needs.)

About term (semester) selection

You can generate tables with GVSU section data from a single semester or from multiple semesters. By default, tables will include data from the most recent semester.

Note that selecting more than one term in this step will not automatically result in a table that shows trend data.  You must also include Term as a table element (That is, the Term pod should be in the table diagram). If you use multiple terms' data, but do not specify TERM as a table variable, data will be aggregated across terms.

Formatting variables:

With many variables, you have a choice about how the values will be categorized in your table. This allows you much more flexibility to create the table precisely the way you need it. For example, if you need to know about sections with less than 15 seats, the default categories (below, left) don't give you the information you need. You can use the formatting window for Number of Seats to tell the table generator to use a single cutpoint at 15, and your table will have just two age categories -- representing "Under 15" and "15 and More".

Number of Sections
Number of Seats
0 -< 10 341
10 -< 20 529
20 -< 30 1521
30 -< 40 1127
40 -< 50 378
50 -< 60 105
60 -< 70 15
70 -< 80 34
80 -< 90 21
90 -< 100 15
100 -< 11021
110 -< 1207
120 -< 13013
140 -< 1509
150 -< 16010
200 -< 2103
220 -< 2301
230 -< 2401
240 -< 2504
250 -< 2601
300 -< 3101
Total4157
Number of Sections
Number of Seats
. -< 15663
15 + 3494
Total4157

There are two types of formatting windows you may encounter. A few variables have a limited number of formatting options available, and their formatting windows present a drop-down list with the choices. In the Section Table Generator, Course Level and Instructor Rank are the only variables with these special formatting options. The formatting details are described in the data dictionary entry:    Course Level    Instructor Rank.

The other type of formatting window appears for continous variables -- that is, variables like Student Credit Hours or Enrollment that can take any value within an expected range. For these variables a default rule for separating the values into categories has been assigned (these are described in the variables' data dictionary entries), but you can apply a customized formatting rule if you want.

The custom formatting rule for a continuous variable can take either of two forms: a list of specific cutpoints, or an interval for equal-size ranges.

The labeling for the categories created for continuous variables can be confusing. They take a form like "25-<35" which means "25 up to but not including 35". This is ugly and confusing, but it's necessary to account for the possibility that someone could have a value of 34.9. If we labeled the categories "25 - 34" and "35 - 44", it would be more pleasing to the eye, but it would not be clear what we should do with 34.9. In the table generator, formatting categories (unlike selection ranges) always include their lower bound but exclude their upper bound.

The lowest possible category for continuous variables will always have a period (.) as its lower bound. (This is the lowest possible category -- it will not necessary appear on your table, since categories that are empty are not printed.) The period represents missing data, meaning that the university does not know (or did not know at the time the data were captured) the value for that variable for one or more sections. Missing values are always the lowest possible value for the variable, so if it's important to distinguish between missing values and very low values, make sure you designate a cutpoint that will be lower than the lowest valid value you might find. Most of the default formats are already set up this way, so it should only be custom-formatted variables that require attention to this detail.

Consolidating cross-listed sections

Some Grand Valley course sections are "cross-listed" -- a single section is listed in the course catalog under more than one section ID. By default, section characteristics are tabulated separately for each listing -- e.g. AAA 352 A and WGS 352 A are counted as two separate sections, even though they actually meet in the same room, at the same time, etc..

You have the option of treating cross-listed sections as a single section. To do so, check the appropriate box in the "Table Options" section of the main Section Table Generator window. Sections will be tabulated according to the characteristics of the "master" section record (as designated in the SIS system), but enrollment and capacity data will reflect the combination of all appropriate section listings. For example, the tables on the left pane below show results using the default behavior of not consolidating listings. The example on the right shows the same data, but with cross-listed sections combined. Notice that a message appears below the "Record Selection Criteria" table to remind you that cross-listed sections have been consolidated.

Data Type
Student Credit HoursEnrollmentNumber of Seats
Section ID
AAA 352 A 57 19 15
GPY 352 A 105 35 35
MKT 352 A 120 40 40
WGS 352 A 42 14 15
Total324 108 105


Summary of Record Selection Criteria

CharacteristicSelected Values
Term Fall 2005
Section ID * 352 A
Scheduled Hours 0.1-HIGH

Data Type
Student Credit HoursEnrollmentNumber of Seats
Section ID
AAA 352 A 99 33 30
GPY 352 A 105 35 35
MKT 352 A 120 40 40
Total324 108 105


Summary of Record Selection Criteria

CharacteristicSelected Values
Term Fall 2005
Section ID * 352 A
Scheduled Hours 0.1-HIGH

Note that cross-listed courses are consolidated and categorized under the characteristics of the "master" section record.


Data Dictionary:

   Following is a list of data elements available in the Section Table Generator.  A list or range of the extant values is given for each element.  Definitions or explanations are provided for selected elements/values.

Term
College
Department
Course Prefix
Course Level
Course ID
Section ID
Instruction Type
Instructor Rank
Instructor Department
Instructor
Gen-Ed - Foundations
Gen-Ed - Cultural
Gen-Ed - Themes
Skills / SWS
Night / Weekend
Section Location
Building
Number of Seats
Student Credit Hours
Scheduled Hours
Enrollment
Number of Sections
Data Variables

Term

The semester in which the section was offered. For terms which have had an official census, data reflect status as of the census date for that particular term. Otherwise data reflect status as of the date reported in the Record Selection Criteria table.

Use of census data avoids the ambiguities that result from reporting directly from a constantly changing database. Results of table generator queries are stable for terms with census data -- you will get the same results today as you got yesterday if you use the same parameters. A downside to the use of census data is that data that are incomplete or incorrect when they are captured are not changed to reflect subsequent improvements.

Provisional data for upcoming or ongoing semesters is provided in response to user demand, but please bear in mind that data are in flux. Updates are captured weekly (on Monday morning), and may result in transitory results (if you request the same parameters next week, you may not get the same tabular results).

Unlike other table generator variables, there is no "all" selection criterion for Term. One or more terms must be specified. By default, the most recent regular academic term (i.e. Fall or Winter) for which census data exist will be selected.

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College

This is the college (within GVSU) responsible for the course offering. At present, all offerings are assigned to the post-reorganization college that is responsible for the course. There is currently no way to use the Section Table Generator to summarize data according to the organizational structure that existed prior to 2004.
The extant values for College are:

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Department

This is the academic department responsible for the course offering. This may be different from the instructor's assigned department (see Instructor Department below). This also differs from the Course Prefix in some cases, since several academic departments offer courses in more than one content area with different prefixes -- e.g. CBR (Broadcasting) and CPH (Photography) courses are both offered (among others) by the School of Communications.

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Course Prefix

This is the first 3 letters in the course or section ID, representing the general content area of the course. Note that multiple prefixes / content areas can be offered by a single Department (see above).
EXAMPLE: the prefix for PLS 211 A is PLS

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Course Level

This is a broad categorization of the course call number, representing the approximate level of difficulty or sophistication of the course. Courses with higher levels are presumed to be more advanced than those at lower levels. There are three possible levels of aggregation for Course Level. The following table summarizes those levels of aggregation and the associated categories of courses:
By 100's (default)000-Level
100-Level
200-Level
300-Level
400-Level
500-Level
600-Level
3 categoriesLower-Division (000-299)
Upper-Division (300-499)
Graduate (500-699)
2 categoriesUndergraduate
Graduate
To specify a level of aggregation, choose "Control the way values will be grouped in the table..." from the pod options menu. The pod must be located in a PAGE, COLUMN, or ROW slot for this option to appear. (See Formatting Variables for more details.)

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Course ID

This is the 7-character course ID. The numeric potion of the course ID should always start in the 5th position (e.g. "NUR 400", not "NUR400" and "ED  330", not "ED330" or "ED 330"). This distinction is only important for you if you use Course ID for record selection (see Record Selection above).
EXAMPLES: WRT 305; BIO 205; MKT 655

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Section ID

This is the full ID of the section, including the prefix, course number, and section code. Combined with Term, the section ID uniquely identifies a course section. As with Course ID above, the presence of spaces is important: the numeric portion should start in the 5th position and the section code should start in the 9th position. Most section IDs are either 9 or 10 characters long, depending whether they have a one-character or a two-character section code. These distinctions are only important for you if you use Course ID for record selection (see Record Selection above).
EXAMPLES: WRT 305 H; BIO 205 A1; MKT 655 A

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Instructor Rank

The rank and appointment type of the faculty member assigned to teach the section. Faculty with regular appointments are categorized by rank, while all others are categorized by type of appointment (i.e. adjunct, affiliate, or visitor). Sections without assigned instructors ("Staff" sections) are counted under "Adjunct". Please note that faculty rank data from semesters prior to fall 2004 are somewhat tenuous. Subsequent data should be much more reliable. There are two levels of aggregation available for reporting Instructor Rank. The default is to show the levels in relative detail, while the alternative groups faculty by appointment type as follows:
DefaultAlternative
Adjunct ProfessorAdjunct
Visiting ProfessorFT Non-Tenure-Track
Affiliate Professor
InstructorTenured / Tenure-track
Assistant Professor
Associate Professor
Professor


An instructor's rank is determined once per year, on September 30th. For the most part, this yields accurate data for semesters that are over or in-progress, because faculty appointments typically run August through August. Note however that rank data for upcoming semesters are approximate only, since promotions and changes in appointments that occurred or will occur after the last Sep 30 census will not be reflected.

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Instructor Department

This is the academic department in which the assigned instructor has his or her primary assignment. This may be different from Department, the department responsible for the course. Sections without assigned instructors ("Staff" sections) are assigned to the course's department. An instructor's home department is determined once per year, on September 30th. For the most part, this yields accurate data for semesters that are over or in-progress, because faculty appointments typically run August through August. Note however that Instructor Department data for upcoming semesters are approximate only, since changes in appointments that occurred or will occur after the last Sep 30 census will not be reflected.

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Instructor

The instructor assigned to the section in the university's SIS records. Despite insistence by the Records office that all sections have their instructors attributed correctly, there are still some sections assigned to "STAFF." Since Table Generator data are reflective of data as they exist on the census date for the term (generally 1 week into classes), they are not corrected retroactively -- if a section appears as staff and you know who the real instructor was, it's too late to fix the table generator data, but please encourage department and college administration and staff to submit correct and timely information for future terms.

Names are formatted LAST, FIRST.



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Section Location

The GVSU campus on which the course was offered. Note that distance education sections often require one or more "face-to-face" meetings, in which case, the course is categorized according to the location of those meetings. Sections without scheduled meetings are generally counted as if they occur at Allendale. Extant values are:

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Building

The 3-letter abbreviation for the building in which the section meets. Sections with more than one meeting place scheduled are categorized in the building containing their primary meeting space (the one listed first). Following is a list of codes and building names:
ANNArts Annex (Allendale)
ASHAu Sable Hall (Allendale)
CACCalder Art Center (Allendale)
CHSCenter for Health Sciences (Grand Rapids)
DEVDeVos Center (Grand Rapids)
EC Eberhardt Center (Grand Rapids)
FH Field House (Allendale)
HOLMeijer Campus (Holland)
HRYHenry Hall (Allendale)
KC Kirkhof Center (Allendale)
KEBKeller Engineering Bldg. (Grand Rapids)
LHHLake Huron Hall (Allendale)
LMCLake Michigan Center (WRI) (Muskegon)
LMHLake Michigan Hall (Allendale)
LSHLake Superior Hall (Allendale)
LTTLoutit Lecture Halls (Allendale)
MAKMackinac Hall (Allendale)
MANManitou Hall (Allendale)
MCCMuskegon Community College (Muskegon)
MRCMichigan Alternative & Renewable Energy Ctr (Muskegon)
NMRNiemeyer Living Center (Allendale)
PACPerforming Arts Center (Allendale)
PADPadnos Hall (Allendale)
SAA??
SSMLake Superior State University (Sault Ste. Marie)
TBATo be announced
TC Traverse City
WRIWater Resources Institute (Muskegon)


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Night / Weekend

Sections with scheduled meeting times beginning at 6:00 PM or later are considered evening courses. Any sections with scheduled meetings on Saturday or Sunday are labeled as "weekend courses". Any sections that meet both of these criteria, and are labeled "Both".

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Instruction Type

This the instructional activity type recorded for the section in SIS. Extant values are: Types marked with asterisks (*) are those with formal meeting patterns (i.e. the instructor and all students meet in scheduled sessions. Reports considering section size should generally only include these instruction types. For example, the pre-defined table layout "Listing of very small sections" includes only those 8 types.

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Gen-Ed - Foundations

Indicates any GVSU General Education Foundations category to which the section can be applied. The categories are: Courses which do not apply towards a Foundations requirement have a blank value.

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Gen-Ed - Cultural

Indicates any GVSU General Education Cultural Emphasis category to which the section can be applied. The categories are: Courses which do not apply towards a Cultural Emphasis requirement have a blank value.

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Gen-Ed - Themes

Indicates any GVSU General Education Theme to which a course can be applied. The themes are:

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SWS

Indicates whether a section satisfies the General Education "Supplemental Writing Skills" requirement.

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Number of Seats

The maximum enrollment allowed for the section. When used as a data variable, aggregation will be the sum across any applicable sections. The default formatting when used as a categorical (i.e. row, column, or page) variable is by10at0 -- [0-9,10-19,20-29,...]. You can modify the formatting using the variable formatting window.

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Student Credit Hours

The total student credit hours (i.e. number of students times number of credit hours per student) generated by the section. Data reflect official census enrollment or enrollment as of the date specified in the Record Selection Summary table. Any drops/adds that occur after the census are not reflected in Table Generator data. When used as a data variable, aggregation will be the sum across any applicable sections. The default formatting when used as a categorical (i.e. row, column, or page) variable is by10at0 -- [0-9,10-19,20-29,...]. You can modify the formatting using the variable formatting window.

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Scheduled Hours

The number of credit hours awarded to any single student upon completion of the section. When used as a data variable, aggregation will be the sum across any applicable sections. The default formatting when used as a categorical (i.e. row, column, or page) variable is by1at0 -- [0,1,2,3,...]. You can modify the formatting using the variable formatting window.

By default, non-credit sections are excluded from Section Table Generator tables You can clear this selection criterion by selecting the appropriate option from the options window, or specify an alternative criterion in the record selection window.

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Enrollment

The number of enrolled students on the census date for the term or the date specified in the Record Selection Summary table. Any drops/adds that occur after the census are not reflected in Table Generator data. When used as a data variable, aggregation will be the sum across any applicable sections. The default formatting when used as a categorical (i.e. row, column, or page) variable is by5at0 -- [0-4,5-9,10-14,...]. You can modify the formatting using the variable formatting window.

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Number of Sections

The number of sections that meet the given criteria. This is the default data variable for Section Table Generator tables.

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Data Variables

This pod is a placeholder that controls how the multiple data variables will be dispayed in your table. You can move it around in your table (to other "Column", "Row", or "Page" slots), but the only way to remove it from the table is to remove "Data" variables until only one "Data" slot is occupied, at which time the Data Variables pod will disappear. The Data Variables pod will initially be placed in an empty "Column", "Row", or "Page" slot if possible. If all of those slots are filled, Data Variables will displace the pod in the second "Column" slot.

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