I've created a pivot table that lists the number of cases submitted by a series of locations.
Consider:
Location A 100
Location B 10
Location C 1000
TOTAL 1110
Our data for the table includes location and status. Now the client wants to see a percentage of CLOSED cases as a third column.
Consider:
Location A 100 50% (based on 50 cases marked as "closed")
Location B 10 10% (based on 1 case marked as "closed")
Location C 1000 20% (based on 200 cases marked as "closed")
TOTAL 1110 23% (based on 251 total cases marked as "closed")
I can add a third column to the table, but the second I filter on CLOSED cases, column two lists the totals of closed cases only, and my percentage is 100% for all of column three. Is there a way to leave column 2 selecting EVERYTHING, but set column one to look ONLY as closed cases?
In a perfect world, I could display location, count of ALL cases by location and count of CLOSED cases by location, expressed as a percentage of column #2
Is this doable?
I think the best way to do this is to add a column to your source data that assigns a 0 for open stores and a 1 for closed. Then using my dictum:
The percentage of True items in a list is the average of zeros and
ones, where True is represented by 1 and False by 0.
from this post, you can do this:
Related
This is my points table
I want to perform FIFO(First in First out) action
The column points has real time entries and considering the first two entries that is 600 and 400 respectively
I withdraw 900 totally i need to update the first column of redeemed_points as 600 and the second one as 300
I have a table that will have about 3 * 10 ^ 12 lines (3 trillion), but with only 3 attributes.
In this table you will have the IDs of 2 individuals and the similarity between them (it is a number between 0 and 1 that I multiplied by 100 and put as a smallint to decrease the space).
It turns out that I need to perform, for a certain individual that I want to do the research, the summarization of these columns and returning how many individuals have up to 10% similarity, 20%, 30%. These values are fixed (every 10) until identical individuals (100%).
However, as you may know, the query will be very slow, so I thought about:
Create a new table to save summarized values
Create a VIEW to save these values.
As individuals are about 1.7 million, the search would not be so time consuming (if indexed, returns quite fast). So, what can I do?
I would like to point out that my population will be almost fixed (after the DB is fully populated, it is expected that almost no increase will be made).
A view won't help, but a materialized view sounds like it would fit the bill, if you can afford a sequential scan of the large table whenever the materialized view gets updated.
It should probably contain a row per user with a count for each percentile range.
Alternatively, you could store the aggregated data in an independent table that is updated by a trigger on the large table whenever something changes there.
I calculate the percent of total number of active customers for each SalesOwner in one of my Workbook sheets:
As you see, I have also added the SalesOwner as a filter.
The calculated field (segment_active_members) is computed using the following formula:
COUNTD(wk_customer)/ SUM({FIXED : COUNTD([wk_customer])})
What I want to do is create a side-by-side bar chart where upon filtering one of SalesOwners, I am able to compare it with the total (100%). So if I filter the above sheet by SalesOwner X which takes 5% of total. I'd like to see only two bars with one having 5% of the other one's length.
So I add another calculated filed to the above scenario where a fixed total is calculated:
SUM({FIXED : COUNTD([wk_customer])}
We will have a new column in the above picture with a fixed value of 100% for all rows.
I get what I want when my filter is on "All".
But as soon as I select a single filter (SalesOwner), my first percentage is also changed into 100% and I can never compare it to total.
How can I show the percentage against total for single segments?
This could be one of the solution:
Change the calculation of segment_active_members as follows
SUM({FIXED [Sales Owner]: COUNTD([wk_customer])})/SUM({COUNTD([wk_customer])})
Remove the table calculation for segment_active_members in the Measure Values shelf
You'll see that you are able to filter it down without any problem now
Cheers!
I've got a bar chart with three months worth of data. Each column in the chart is one month's data showing the percentage of Rows that met a certain criterion for that month. In the first month, 100% of 2 rows meet the measure. In the second month, 24.2% of 641 rows meet the measure. In the 3rd month, 28.3% of 1004 rows meet the measure. My reference line which is supposed to show the average across the entire time-frame is showing 50.8%, the simple average (i.e. [100+24.2+28.3]/3) instead of the weighted average (i.e. [100*2+641*24.2+1004*28.3]/[2+641+1004]).
In the rows shelf, I have a measure called "% that meet the criterion", this is defined as SUM([Criterion])/SUM([NUMBER OF RECORDS])
The criterion measure is 1 for any record that qualifies and null for any that do not qualify.
If I go to Analysis >> Totals >> Show Row Grand Totals, a 4th bar is added, and that bar shows the correct weighted average of the other three bars (26.8%), but I really want this to be shown as a reference line instead of having an extra bar on the chart. (Adding the Grand Total bar also drops the reference line down to 44.8%, which is the simple average of the 4 bars now shown on the chart--I can't think of a less useful piece of information than that).
How can I add the weighted average as a reference line?
Instead of using 'Average' as your aggregation, try using 'Total' instead in the Edit Reference Line dialogue window.
I have to say it's a bit counter-intuitive, but this is what the Tableau online help has to say about it:
http://onlinehelp.tableau.com/current/pro/online/mac/en-us/reflines_addlines.html
Total - places a line at the aggregate of all the values in either the cell, pane, or the entire view. This option is particularly useful when computing a weighted average rather than an average of averages. It is also useful when working with a calculation with a custom aggregation. The total is computed using the underlying data and behaves the same as selecting one of the totals option the Analysis menu.
If you are using Tableau 9, you can make second calculated field using an LOD expression
{ SUM([Criterion]) / SUM([NUMBER OF RECORDS]) }
This will calculate the ratio for the entire data set after applying context and data source filters, without partitioning the data by any of the other dimensions in your view (such as month in your case)
If you place that new field on the detail shelf then you can use it to create a reference line.
There are other ways to generate a weighted average, but this is probably the simplest in your case.
I am trying to use Tableau's row total function but am running into a challenge. In the same widget I have Rows 1 - 4 with Numbers. Row 5 is a percentage.
What I would like to do is have Rows 1 - 4 use a Sum Total and Row 5 use an Average total.
Any suggestions on how I can do this?
Thanks,
I don't believe you can use different total metrics on the same worksheet.
What you can do is to create 2 different worsheets, and bring them side by side on a dashboard. Then use the proper Total metric in each.
But beware on calculation average of percentages, because they might be twisted. Usually weighted average is required to accurately express the "average" of a percentage.
What you can do is to actually calculate the percentage (use a calculated field) via the division of two metrics. That way, when you do Totals you will actually a valid value for the "average" of the percentage.
As an exercise, suppose you have sales (in $) in first row, and # of clients in row 2. Now I create a calculated field called ticket, that is
SUM(sales) / sum([# of clients])
That way I can add that to a third row, and for each column I'll have the right number of ticket, and if I add a Row Grand Total, I'll get the actual average ticket value (that is total sales / total # clients), because Tableau will sum all sales, sum all # clients and them perform the calculation (the division)