I am plotting a scatter chart with the x-axis: Date Value, y-axis: Value of measured test cases.
However, since most of my measured test cases are the same, the data points are overlapped. This results in my graph showing just a horizontal line. I want to show the distribution of all the data points even if the value is the same.
Related
I have the following SharePoint Lists:
Plans:
Plan
Curve
Description
Plan001
Curve001
asdf
Plan002
Curve002
asdf
Curves:
Curve
ValueA
MeasureA
ValueB
MeasureB
Curve001
10
100
50
100
Curve002
20
30
40.
80.
A User can select a Plan in Power BI. When the plan gets selected, I want to draw a Visualization of the corresponding curve E.g. when Plan001 gets selected, Curve001 should be drawn. The Points consist of the Values (X-Axis) and Measures (Y-Axis)
I managed to get all the values with either measure column or calculation column. But I am not able to draw the line chart. This is probably because each field in the curve table is also a own column.
The chart works perfectly if I create a table like this from hand:
Value
Measure
10
100
50
100.
Is there any way to transform the table, measure columns or calculation columns to such a table automatically? Or do you know a way how I could achieve this?
Unfortunately, I can't change the SharePoint list.
I have a spreadsheet that has information on credit card applications. In Power BI, I have created calculations to calculate the number of applications (COUNT), and other calculated measures that give me the number of applications based on different filters (CALCULATE).
I then created a slicer that slices the data based on type of card. So say I have a line chart that shows the number of applications for males and females, I can then use the slicer to select different cards.
The trouble I'm running into, is that some cards have a lot more applicants than another. This can be difficult for display, as I set certain Y Axis ranges for the data labels to be clear. So if I have one line chart that the minimum is 100 and max is 500 for one card, if I click on another card in the slicer, then the Y axis size is still 100 - 500, which isn't great if another card in the slicer pane only has 50 applicants.
Does anyone know of a creative way to dynamically change the Y Axis sizes, based on a slicer selection?
Which type of visualisation I need to choose if I want to show relationships between 3 numerical values and turn the horizontal axis into a logarithmic scale? The worksheet data would include grouped sets of values and you wanted to show patterns in large sets of data, for example by showing linear or non-linear trends, clusters, and outliers?
Bubble Chart
Bar Chart
Treemap
Pie Chart
A bubble Chart is the correct option.
Hi I'm trying to create a Bar Chart like this (This chart is an illustration, not created from data yet):
If the data is being fetched from a single table, how can I have dual color scheme for bar is past and future. Also how can I place a moving marker that automatically updates the TODAY placard based on whenever the report is viewed and accordingly bars should follow the past and future color schemes.
Schema is roughly as follows:
Table1: Issue ID, Release name, issue priority
Table2: Release name, Release date
In Power BI as well as in Excel, the secret is in the data layout. You can't just have all your past and future data in two columns and magically expect that some of them will turn out red and orange instead of dark and light gray.
You will need to prep your data source to include stacked series for the light gray, dark gray, red and orange series. Stack all series on top of each other and make sure that where the red and orange series have values, there are only zero values for the gray series.
I suggest you use four columns for four stacked series and divide the values accordingly.
In Power BI, you can apply the same principle as in this Excel screenshot.
Let me know if you need help translating that to Power BI.
Edit: The Power BI data does not have to be static. You can build columns with Dax functions that arrange the data in the pattern required. Add four columns to your data model with the formulas
chtPastProdA = if(tblProducts[Date]<TODAY(),tblProducts[Product A],0)
chtPastProdB = if(tblProducts[Date]<today(),tblProducts[Product B],0)
chtFutureProdA = if(tblProducts[Date]>=today(),tblProducts[Product A],0)
chtFutureProdB = if(tblProducts[Date]>=today(),tblProducts[Product B],0)
Then build a stacked column chart and stack all four of these series. Format the colors.
For the "Today" marker you would need a custom label, which Power BI currently does not support. But since the demarcation between gray and red/yellow is today, it's quite obvious where the current date is, anyway.
I have a simple chart plotting data over time. The data points are taken at random time intervals, and I would like the chart X axis (time) to actually reflect the interval between these dates. Currently the x axis always uses the same spacing between two dates, regardless of the span of time covering the delta.
Thanks!
https://developers.google.com/chart/interactive/docs/gallery/annotatedtimeline
should do what you want. It has support for graphing using dates.