Working some data and needing to essentially do an 'average' of an 'average'. Have a daily snapshot that I am averaging over the month, then want to sum the averages and then find the average of that. I know I know, boss says it's a requirement.
So the data looks fine when I have 'Year/Month' on the rows shelf. The issue I am running into is that when I remove the 'month' pill, the data disappears. I've narrowed it down to my calc and the part where I'm trying to define how to average at the lower level.
Any ideas if there is a way to calc it at that lower level to use in the second part where I need to sum those averages then average that?
Tableau Calc
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I am trying to replicate the plot below (done with ggplot in R) using Tableau:
However, I can't see how I can subset the plot so it fits the screen using Tableau. Using Tableau, this is what I get:
I've attempted adding the following but it stops plotting the histograms and ends up messier:
Row Divider (Discrete):
INT((INDEX()-1)/(ROUND(SQRT(SIZE()))))
Columns Divider (Discrete):
(INDEX()-1)%(ROUND(SQRT(SIZE())))
How can I achieve the plot in R using Tableau?
P.S.: The datasets are different in case you were wondering why Monday doesn't look the same.
You're on the right path using Row-Column divider, but you need to go some step further using the small multiple technique.
For instance, you need to move WEEKDAY in the detail mark and then, use column and row divider in column and row shelf.
Doing so, you'll also need to right-click on CNT/Ride Id Hash) and compute it with WEEKDAY.
Here's a cool guide by a Tableau Zen master showing how to work with this tecnique: https://www.vizwiz.com/2016/03/tableau-tip-tuesday-how-to-create-small.html
I have made a bar chart which aggregates my data, but is there any way I can split each bar based on the data it is aggregating - similar to how a stacked bar chart would look?
Here is a bad artists impression (thick blue lines mine). The idea is that it's important to know from looking at the graph if I sold 5 at £1, or 1 at £5.
Ideally this would work even if the price for each item is variable, but that is not essential (eg: if there is a 'hack' with hardcoding Apple = 3, I can live with that.)
I'm also fine inputting helper columns etc, within reason, but I would want to be able to easily continue to add things to the list on the left without having to add new helper columns each time (calculated ones are fine, of course.)
Thanks in advance.
UPDATE: With thanks to Kin Siang below, I ended up implementing a slightly modified version of their solution, which I am posting here for completeness.
I added a very large (but finite) number of helper columns to the right, with a formula in each cell which would look for the nth occurrence of the item in the main list (wrapped in an iferror to make the unused cells blank).
=iferror(index(FILTER($A:$B,$A:$A=$D2),E$1,2))
Theoretically it could run out of space one day, but I have made it suitably large that this should not be an issue. It has the advantage over the other solution that I do not need to sort or otherwise manipulate the input range and can continue trickling in data to the main list and have the chart automatically update.
Yes, it is possible to display the chart in your case, however need some data transpose in order to do so, let me show you the example with dataset
Assuming this is your original data:
First sort the data by alphabet, and enter this formula in new column
=if(G39="",1,if(G40=G39,I39+1,if(G40<>G39,1)))
Next add new column for categorical purpose, by using concatenate function
="Price"&I40
In the transform data for chart purpose, enter this formula to split all price into different row, different column for different product
=sumifs($H$40:$H$47,$G$40:$G$47,$A41,$J$40:$J$47,B$40)
After that i select stack bar chart and ensure the price in under series, in case in 23 will have some problem to set price at series correctly, you can use 33 data create stack bar chart and update the data range again, it will work also
Here is the cute chart you expected, accept if help :)
*When certain fruit has less price record, it is advised to fill in 0, as the data table need in same column (see the orange price 3), although I didnot test if blank
I tried to plot arrival delay and departure delay columns separately, it's clear the distributions are different.
I would like to show them on the same plot, but whenever I try to do so, both plots became one identical shaped distribution although I'm plotting two different columns! What am I doing wrong?
Thank you for your help in advance.
You need a Departure Delay (bin) field. You can create one by selecting Departure Delay in the data pane on the left sidebar and selecting Create bin.
Once you have that new field, you can place it on the Columns shelf next to the other bin field and just put SUM([Number of Records]) on the Rows shelf — getting rid of both CNT() fields.
That should let you see both histograms.
To answer your question about why your previous approach yielded the same chart, you were binning data in both cases by the Arrival delay.
The CNT([xxx]) fields are misleading. That just counts the number of records that have a non-null value in the [xxx] field. If [xxx] always has a value, its equivalent to SUM[Number of Records]). The bin field is what matters.
I am working on line chart. I am sending two sets of data. Both are date,value pair. One set is of average and another is for daily readings. I need to make it drill down so that when I click on the average it will take me to all the readings of the day. The data is dynamic. Can anyone please help me how to approach with this ?
So, I have a price time series I wrote a moving average for the prices of different retailers http://i.imgur.com/dn3EdM6.png . So far so good, but I want to only see the moving average of the visible retailers. For example, here I have only one shop shown, but the moving average is calculated on all of them. http://i.imgur.com/ZpK5gsG.png Is it possible to make it to dynamically change? Maybe reload the graph or something?
I made an example based on my comment above.
This example does not calculate a moving average - I wrote a simple function to calculate the overall average for the sake of simplicity.
The purpose of the example is to demonstrate how to do it on legendItemClick, making use of only the visible series.
Example:
http://jsfiddle.net/jlbriggs/gejgquxh/