I've got some data that I'd like to display both the averages and the count for.
For instance, there are 50 People taking a survey. Their names are saved in a Dimension "Raters". They are taste testing several products. These products are saved in a Dimension "Products"
They answer 4 questions. Taste, Texture, Appearance, Uniqueness, all saved in Dimension "Question"
The actual ratings are saved in "Ratings". This is a measure.
I can very easily make a table with Raters on the Rows, Question on the Columns, AVG(Ratings) in the text.
This shows me the average score for each question the rater answered.
It looks like this:
Rater-----Taste-----Texture-----Appearance-----Uniqueness
Joe---------2.2---------4.3--------------3.7-----------------2.4
Bob--------3.0----------1.2-------------3.4-----------------4.4
Sally-------4.5----------3.3-------------4.5-----------------3.2
Jessica---5.0----------3.0-------------2.0-----------------1.0
So far, so good.
Jessica's results look suspiciously integerish. When I look at the background data, I see that she only answered for 1 product.
I'd like to be able to add a column to the right of uniqueness which is the count of all product responses for that person.
I've played with this quite a bit, and I'm not sure that it is possible. Maybe with LOD?
I'd also like to filter the table, so that only "tough" raters are shown. Criteria for this is: Their average response for at least two criteria should be below 3.0. That would include Joe and Jessica.
When I try to do counts based on averages, I run into the "cannot aggregate an aggregate rule".
Is there a way around this? It would be trivial to do in excel with another column, a countif, and a filter.
Thanks,
Chris
Part 1:
You should be able to create a calculated field(Analysis->Calculated Field) and name it something like "Number of Records". In the query box just set it to 1 and select "Okay".
This new field will be selectable in the measures. Drag it into your table in the columns area and it should add a count next to your averages.
Part2:
In your measure values box you should be able to right click you measures. This will bring up a list of options including "Filter". Select this option.
On the SUM(Number of Records) set it to "At Least" = 2. Then right click on the AVG(Ratings) measure and set it to "At Most" = 3
Put Products on the Rows shelf.
Then right click on that Products field on the Rows shelf and change ITT from a dimension to a measure. Be sure to choose Count Distinct for the aggregation.
Finally, right click on the field again and change it from continuous to discrete.
This shows how many different products each person reviewed, no matter how many characteristics they rated. If you want the number of ratings, use count instead of count distinct. Or just Sum(number of records), again set to discrete
Related
I'm not sure if you can quick question someone can provide me with an answer for.
I am trying to add a total number of records to the title of a sheet, however every calculated field I do returns "1" as they must be just counting one row not all the rows.
Tried:
TOTAL(SUM([Number of Records]))
COUNT([Number of Records])
COUNTD([Number of Records])
I would like the title to say "Incidents Active over 7 days Total 12" (or whatever the number of records in the sheet are)
Put a calculated field that simply calls Size() on the detail shelf.
Click on that field and then Edit the Table calc to define the partitioning and addressing (aka compute using) This is the trickiest part. From your screen shot, it looks like you'd want to choose Specific Dimensions, and then set At the Level to Number. You may need to experiment or RTFM.
Insert Size() into your title
To understand how this works, especially the tricky step 2, read the on line help about Table Calc, and check out some of the videos and training materials on table calcs from the Tableau Conference. Last year's are available at http://tc19.tableau.com
I have two calculated fields (HomeScore, AwayScore) and I grouped them by different dimensions(Home, Away). Now, I have TotalRuns per Team both in HomeGames and AwayGames. My problem is that I want to find the sum of TotalRuns per Team not separetely for home games and away games. I want to add these group-by fields somehow. I attach a screenshot to see my work. For example first column for both charts is "Arizona Diamondbacks" which has 263 Runs in first chart and 337 in the second one. I want to show the 263+337=600 Runs. Any Idea?
You'll want to create a LOD expression.
{FIXED [Team Name] : SUM([Total Runs])}
Think of your data as a big table (which it technically always is in Tableau). Every grouping, filter, etc. that you do narrows down the number of columns and rows you have left until you are left with your data set that contributes to your chart. LOD expressions allow you to back out of the filters, etc. in your calculation. In this case, you narrowed down to home or away games, and we are backing out of that to get a bigger picture of the data.
I've been tasked to set up a Tableau worksheet of counts of data (ultimately to create percentages) where the contrived incoming data looks like the following.
id fruit
1 apple
1 orange
1 lemon
2 apple
2 orange
3 apple
3 orange
4 lemon
4 orange
The worksheet needs to look something like the following:
Count of ids
2 Lemons
2 No lemons
I've only been using Tableau for about 4 hours, so is this doable? Can anyone point me in the right direction?
The data is coming in from a SQL Server database in a format that I can control if that helps contribute towards a solution.
Alex's solution based on sets are very good for this scenario, but I would like to show that LODs can be more flexible if you need to extend your solution to include more categories.
for the current scenario, create a calculation with below formula and create text table using COUNTD(Id)
{FIXED [Id]:IF MAX([Fruit]='lemon') THEN 'Lemon' ELSE 'No Lemon' END}
Now for the extension part, you are considering below list where you want to count IDs with Lemon, Apple and others. Since no double counting of Ids are allowed, categorization will follow the order. (This kind of precedence will be a headache without LODs)
Now you can change your calculation as below:
{FIXED [Id]:IF MAX([Fruit]='lemon') THEN 'Lemon'
ELSEIF MAX([Fruit]='apple') THEN 'Apple'
ELSE 'No Lemon or Apple' END}
Now your visualization automatically changes to include the new category. This can be extended for any number of fruits.
This is a good use for a set.
In the data pane on the left sidebar, right click on the Id field and create a set named "Ids that contain at least one lemon" (or use a shorter less precise name)
In the set definition dialog panel, define the set by choosing "Use all" from the General tab, and then on the Condition tab, define the condition by the formula max([Fruit]="lemon")
There are many ways to think of a set, but the most abstract is just as a mathematical set of Ids that satisfy the condition. Remember each Id has many data rows, so the condition is a function of many data rows and uses the aggregation function MAX(). For booleans, True is treated as greater than False, so MAX() will return True if at least one of the data rows satifies the condition. By contrast, MIN() is True only if ALL (non-null) data rows satisfy the condition.
Once you have a set that separates your ids into Lemon scented Ids and others, then you can use that set in many ways - in calculated fields, in filters, in combination with other sets to make new sets, and of course on shelves to make visualizations.
To get a result like your question seeks, you could put your new set on the Row shelf, and put CNTD(ID) on the text shelf or columns shelf. Make sure you understand why you need count distinct (CNTD) instead of SUM([Number of Records]) here.
BTW, the LOD calculation { fixed [Id] : max([Fruit]="lemon") } is effectively the same solution.
I have a table in Tableau that contains football teams, their top goal scorers and the number of goals these players scored. I would like to filter the table to show the team which has the player who has scored the most goals.
For example, if my table has Team A and Team B, and Team B has the player which has scored the most goals out of every player (in all the teams), then I would like the filter to include only Team B (but show every player in Team B).
This is a good use case for a top filter.
Place Team on the filter shelf.
When defining the filter, choose the Top tab.
Select By field, Top 1, Number of Goals and Max
This tells Tableau to determine the maximum value for the [Number of Goals] field for each Team, and then filter to only include the Team with the top value.
(Note, this approach assumes that there is a single data row per player showing the total number of goals that player achieved. If your data is structured differently, say one data row per player per game, then you might need to revise the approach slightly, perhaps using an LOD calc too)
In SQL, this typically leads to a HAVING clause.
The only downside is if two teams tie for the top position, I believe you will only see one of them in that case.
If that case is important to you, you can get a similar effect using a table calc to rank teams by their max [Number of Goals], setting the tie breaking rule of your choice for the quick table calc, and then using that calc on the filter shelf to only show teams with the top rank. This will show multiple teams if they are tied for top rank.
The table calc approach is more flexible but can be less efficient, especially for large data sets, since the data is fetched from the data source to Tableau for the ranking calculation, and then only some of it is displayed. (Table calc come very late in the processing pipeline) The top filter approach performs the calculations and filters at the data source, and only sends the filtered results back to the Tableau client.
I'm building my first dashboard in Tableau and I'm just beginning to learn all the nuances. Right now, I have a basic text table as shown in the image below. I'm trying to add an "Average" column at then end which will give the average per "Assignee" across the 5 fiscal week's shown. I assume there must be a pretty simple way to do this, but I've searched all over and cannot figure it out. I've been able to change the "Grand Total" column to show averages, but not add an additional column so I can display both data points. Can anyone provide some insight into how to make this work?
There are two things you can do:
Go To "Analysis/ Total/ Show Row Grand Totals" and the go to "Analysis/ Total/ Total All Using/ Average" This will give you the row and column averages. Your questions sounds like you want row average but column total, so you should try the second option.
Create a calculated field with WINDOW_AVG(sum([YourMeasure])) (Replace [YourMeasure] with the meassure you want to average. I couldn't see the full name in the screenshot) I will call it AverageMeasure
Then drag the AverageMeasure pill into the rows shelf, right click it and choose "Discrete".
It should look something like this now (I used the Tableau default data set):
If you want to format the number properly, right click on the AverageMeasure in the measures section, choose Default Properties/ Number Format and choose whatever you prefer.