Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
I am reproducing the example in this link. Here is the code I am using in the script.r file:
source('./r_files/flatten_HTML.r')
############### Library Declarations ###############
libraryRequireInstall("ggplot2");
libraryRequireInstall("plotly")
####################################################
################### Actual code ####################
p <- Values %>%
plot_ly( x = ~x_data, y = ~y_data, z = ~z_data) %>%
add_markers() %>%
layout(scene = list(xaxis = list(title = 'X [mm]'),
yaxis = list(title = 'Y [mm]'),
zaxis = list(title = 'Z Number')));
internalSaveWidget(p, 'out.html')
# ####################################################
#
# ################ Reduce paddings ###################
ReadFullFileReplaceString('out.html', 'out.html', ',"padding":[0-9]*,', ',"padding":0,')
# ####################################################
I have managed to reach step 10 with no issues. After adding my data elements, I always get an error stating that x_data not found.
The screenshot is shown below:
I have found this post from 2019 with the same issue but no solutions have been posted.
Can someone say what is going wrong here?
Is there any way to debug and perhaps "print" the values being used by the visualization?
Thanks in advance,
T
Hi, @bdl5119
As stated in the documentation you mentioned, you need to always make sure that the data elements should match the columns that were originally selected in the custom script.R file.
If the issue still persist, you'd better create a support ticket and have an MS engineer on your side to investigate the issue.
https://powerbi.microsoft.com/en-us/support/
Best Regards,
Community Support Team _ Eason
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.
User | Count |
---|---|
109 | |
99 | |
77 | |
66 | |
54 |
User | Count |
---|---|
144 | |
104 | |
101 | |
86 | |
64 |