I am practicing on how to use Qliksense and I came across this problem. I want to change the range values for the y-axis to show the difference in the Number of Sales between Year 2016 and Year 2017, which have values 105004 and 105609 respectively. However, as the values are too close to each other, I have been trying to find out how to change the values for the y-axis so that the graph will be able to show the difference in the Number of Sales between Year 2016 and Year 2017 more clearly. The picture below shows the graph of the no. of sales between Year 2016 and Year 2017. Please kindly advice on how to change the range values.
You can change the Min value to reduce the range
The max value you can increase a bit for better formatting.
This will give you a better perception of the variation
changing the min and max
barplot
Related
I would like to calculate values for yesterday for every date in a table.
Firstly I have simply calculated the number of orders for each date using COUNTD function.
But afterwards I encountered some problems trying to calculate values for "yesterdays".
Please refer to the image
example
For example for 12th of April I would like to obtain the value for 11th of April.
On the internet there are a lot of examples using today() or max() or table functions but they do not give the required result because a would like to filter for example 12th April but still see the value for 11 April.
Could you please help, how is it possible to do this?
I am currently working in tableau and could not find the answer to this question on the tableau forums or on stack overflow. To get the yearly ticket sales in the attached screenshot, I had to used a Fixed LOD calculation to get the 2018 and 2019 tickets sold to be accurate. For some reason a COUNT formula would not provide the correct number of tickets sold, so I cannot use the below, which is what I previously used.
COUNT(IIF(CONTAINS([Event Year],"2018"),[Ticket ID],0))
I am now using the below for both 2018 and 2019 separately, which gives me the correct ticketing data when cross referencing with the data in excel:
{ FIXED [Ticket Id] : SUM(
IF [Event Year] = "2018"
THEN 1
ELSE 0
END)}
However, since I had to used this Fixed LOD calculation, the percent change from 2018 to 2019 is not correct (see screenshot).
Does anyone know how to calculate the % change for fields that used Fixed LOD?
When I go to create a table calculation to get percent change, there is not an option for row percent difference, and I am assuming this has something to do with the LOD in place.
Thanks in advance for any help you are able to provide!
I'm trying to recreate the following Excel-created graph in Tableau. My data has traffic organized by month-year Eg., 01-01-2016, 02-01-2016 ...etc. for each year. Would changing the data format be required, or can I work with this as is?
I'm following the tutorial here but the closest I can get is:
There are two ways to accomplish this easily.
1. Change the marks card type from Automatic to Line.
Use Show Me (upper right) and select the icon for the line chart.
Additionally, here is some information on Discrete vs Continuous Pills which cause many new users confusion.
Discrete = Distinct buckets like apples, oranges, peaches, etc
Continuous = Any values on an axis like percentage, sales, etc
For dates, discrete dates are parts of the month like days (1, 2, 3...), months (Jan, Feb, March...). A continuous date would be Jan 2019, Feb 2019, etc (these are truncated dates because they include the entire date starting from earlier in time to later in time.
In the picture, the list in green is continuous and the list in blue is discrete.
How do I merge these two figures together which are both based on another measure? The result of the measure is the same however, they were calculated in a different way due to a change in masterdata. So I am looking for a final chart which contains one line and on the x-axis: 2015, 2016, 2017, 2018, 2019.
Please add both measure in values field and year on X Axis
I want to plot a couple of measures by months over the last three years. The plot would be divided by year. So I put year and month for columns and the measure values for rows. The year is defined as DATEPART('year', [Month Date]) and month is DATEPART('month', [Month Date]).
The plot looks like this.
The lines are broken between years. Both YEAR and MONTH are blue (discrete), but if I change them to green (continuous), the lines are connected but it looks weird.
I wonder how to make continuous lines across year?
What has happened is you have converted a date part (i.e. Month = March) to a continuous unit. What this does is simply changes March to 3. This looses the context of what the actual date is (i.e. March 2007). To change this right click on the date field on the column. You will see two separate areas to format the dates i.e. there are two years (2015, 2015), two quarters (Q2 and Q2 2015) etc. The first is a date part and the second is truncated date from the original date/timestamp.
You want to change the format to the second Month option (Month May 2015) and ensure the data type is continuous.
This should give you a continuous line across the year. If not screenshot me where you get to and I can assist from there.
Check if the last week and first of the next year is the same, I have a similar issue and solved it by passing the dates as Day-Month-Year.