I'm trying to build a shewhart-style control chart in Tableau and having trouble with setting a fixed sample size for the data points plotted on the chart. Consistent sample sizes are critical for setting accurate control limits so I'm dead in the water until I can specify that tableau only use 10-30 random rows to calculate each point on the chart.
I thought I could accomplish this by returning a random number in my query and filtering on the top N results for each pane but I can't seem to wrap my head around how to actually execute that.
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I am trying to create a stacked bar chart between 2 dimensions (one being week, other is a string - more below) and 1 measure. I am new to Looker.
But in order to get the stacked bar chart I figure that I need to
Create a pivot
Transpose the data
Create stacked bar chart
I am stuck with step 2 and 3.
The above steps is what I have thought could help me arrive at the visualization I want but would appreciate if there is any other solution for this.
Scenario:
I have a digital marketing data with me, where I am trying to create a visualization on ‘Leads’ generated,
I have 2 dimensions, 1 measure
Lead Created Week - Week on which a lead was created
Reason2 - reason a lead was created or what reason attracted the user most
Leads - count of leads
I have plotted the below visualization where I have created a pivot of week with Reason2 and Lead count under it and have plotted it on a stacked bar chart (as below).
Where each bar is a Reason (X-axis) and each color is the Week dimension, leads (count of leads) is in the Y-axis
Even though this is help what would be helpful is having ‘Week’ on X-axis, ‘Leads’ (count of leads) on Y-axis and ‘Reasons2’ dimension as a legend.
There is also one catch i.e., there are more than 100 distinct values in ‘Reason2’ field but I need to pick on Top 10 Reasons (i.e., the reasons that generated the most leads), which in the above screenshot I have achieved by limiting the display rows to 10 as the measure was already sorted.
I tried to flip around the pivot by having reason in pivot and Week as dimension, but if now the pivot is sorted in alphabetical manner and not by value of measures (screenshot below), I need the top 10 reasons which most leads per week.
How do I achieve the desired visualization of having week on X-axis with leads on Yaxis but only the top 10 Reasons should be generated.
I am currently working on a dashboard to analyze the job market in Singapore. I made a stacked bar chart for job functions vs career level. My supervisor asked me to create a proportional stacked bar chart to see the clear difference in ratios of the career levels.
The dimensions I used was Job Function (jobs of specific industry such as accounting, admin etc) and Career level (jobs of career level such as entry middle and senior) and
The expressions I used was Count(Job Function). The issue is I can't make a proportional chart as the count of jobs varies for each career level for every job function.
Without seeing a sample of the data and exactly how you are displaying it I cannot give you an example.
From what I understand you want the min and max values in the chart (on y axis) to not change based on your selections?
You would have to create a variable and get the max value for said chart, and use set analysis to ignore selections. You would then use this variable in your Properties->Axes->Scale on the object/chart.
(source: tableau.com)
I'm using Measure Values for combining two measures:
1)Count of Clients (As a percentage)
2)% Retention (Calculated field which uses another calculated field called Numerator Retention in it's formula over the total to calculate the %)
Measure Value Mark Labels successfully show the respective percentages for the two measures. Now I wanna show the respective count of clients or numbers behind these percentages but I'm unable to do so since I've already used Measure Value Mark Labels to do something similar.
When I try editing the Labels text, it edits it for all labels together and hence I'm getting all labels for all rows and not how I want it to show selectively as I described.
Example Solution: For Private Residence, I only want 125 to show with 60% which is the actual number behind the percentage. And I want only 119 to show with 95%
You can do this, but not using Measure Values. You should mirror what I have done here. I do not know your calculation for the Respective Retention, so use your calculation.
You need to move both of your measures to the Columns shelf and make them a Dual Axis:
After doing that, you will have access to the individual measures - so you can give labels independently:
Just make sure you place the measures that you want for each axis respectively.
I am completely new to Cognos, so sorry if I don't state some necessary information. I can't go into specifics about my chart, but here is the background:
I have a SQL code running into my Query
My chart and list use the same Query and have the exact same fields
My chart is a basic line graph
When I change my aggregate function to total for my y-axis, then I can see the data points
I do not want to use an aggregate function (I need to see all the points for my x and y-axis)
My x-axis is only one object, but it has multiple y-axis values within a year (which is my series). Ex:product-cost-year list,
where my product is the x-axis, cost is the y-axis, and series is year.
How can I get my chart to appear with all my data points? Eventually, I would like to add an upper and lower confidence interval to this chart.
One way to solve this issue is to create another column that simply counts the number of products (1,2,3,...9). We will call this column count. Keep all your fields the same (product for x-axis, cost for y-axis, and year for series). You will want to add count underneath product on the x-axis. You should see your mouse pointer turn to a horizontal line and it will place it under and to the right of product. Make sure not to place it just to the right of product.
I have created a sparkline in SSRS. Since the values are small i get a straight line graph How do i improve the sensitivity of the graph.
the difference is like for every month
60.06
60.40
60.14
You need to look at the Sparkline Vertical Axis Properties.
Testing with data like yours and a simple Tablix/Sparkline I get results similar to yours:
Opening the Vertical Axis Properties I can see Always include zero is checked by default:
Unchecking this option has a major effect on the sparkline:
So this is one way of doing it. Other than that changing the Minimum and Maximum values here will also have an effect - you just need to play around and find the right combination for you.