Schedule view 10-23-2017 02:57 AM

[fathomson]

Description

A relatively simple visualization to show start-stop of events at locations. Can be roomscheduling but also a production process with specific states at a given time. Although it is only a few lines of R I've used it several times and think it is worth sharing!

Prerequisites (The sample .pbix files will not work without these prerequites completed)

1. Install R Engine

Power BI Desktop does not include, deploy or install the R engine. To run R scripts in Power BI Desktop, you must separately installR on your local computer. You can download and install R for free from many locations, including the Revolution Open download page, and the CRAN Repository.

2. Install the required R packages.

Download the R script attached to this message and run it to install all required packages on your local machine. 

Required R packages:

ggplot2

Tested on:

CRAN 3.3.1, MRO 3.3.0, powerbi.com

[C_Houghton]

This is exactly what I'd like to use, but I want to define limits to ensure a whole day is shown, even if the schedule only has 1 item half an hour long. 

Do you have any ideas on dynamically changing the scale? I'm currently using it with a Calendar visual allowing you to select days, which means it could be any day, so it needs a limit for x hours in a variable date 😕

Another possible option (not ideal at all) is to add a placeholder for every day that is 24 hours long!

[boefraty]

Hi @C_Houghton, 

You certainly can use ggplot functionality to get the required feature. 

BTW,  @fathomson implmented R Custom Visual on the basis of this show case. 

It is still available here. 

As a quick and dirty "hack" to your problem you may try to add two zero-length resources at the beginning and the end of the day. 

[C_Houghton]

Thanks for your reply! That would be absolutely perfect, but i'm getting errors:

Feedback Type:
Frown (Error)

Timestamp:
2017-10-23T07:56:28.6198256Z

Local Time:
2017-10-23T08:56:28.6198256+01:00

Product Version:
2.47.4766.801 (PBIDesktop) (x64)

Release:
June 2017

IE Version:
11.608.15063.0

OS Version:
Microsoft Windows NT 10.0.15063.0 (x64 en-GB)

CLR Version:
4.6.2. or later [Release Number = 460798]

Workbook Package Info:
1* - en-US, Query Groups: 0, fastCombine: Disabled, runBackgroundAnalysis: True.

Peak Working Set:
386 MB

Private Memory:
271 MB

Peak Virtual Memory:
33.8 GB

Error Message:
R script error.
Loading required package: ggplot2
Loading required package: grid
Loading required package: gridExtra
Warning message:
package 'gridExtra' was built under R version 3.4.2
Loading required package: wesanderson
Warning message:
package 'wesanderson' was built under R version 3.4.2
Loading required package: RColorBrewer
Loading required package: dplyr
Warning messages:
1: In library(package, lib.loc = lib.loc, character.only = TRUE, logical.return = TRUE, :
there is no package called 'dplyr'
2: In libraryRequireInstall("dplyr") :
*** The package: 'dplyr' was not installed ***
Error in `levels<-`(`*tmp*`, value = if (nl == nL) as.character(labels) else paste0(labels, :
factor level [2] is duplicated
Calls: sortDataset -> factor
Execution halted

User ID:
db15c5fa-a129-4ae0-ba08-f5149b97bbcb

Session ID:
89517680-55f3-4784-b47f-0655edbd950b

Telemetry Enabled:
True

Model Default Mode:
Import

Snapshot Trace Logs:
C:\Users\ch1\AppData\Local\Microsoft\Power BI Desktop\FrownSnapShot293130851.zip

Performance Trace Logs:
C:\Users\ch1\AppData\Local\Microsoft\Power BI Desktop\PerformanceTraces.zip

Enabled Preview Features:
PBI_Snowflake
PBI_shapeMapVisualEnabled
PBI_EnableReportTheme
PBI_allowBiDiCrossFilterInDirectQuery
PBI_pivotTableVisualEnabled
PBI_numericSlicerEnabled
PBI_daxTemplatesEnabled
PBI_relativeDateSlicer
CustomConnectors

Disabled Preview Features:
PBI_SpanishLinguisticsEnabled
PBI_PbiServiceLiveConnect

Disabled DirectQuery Options:
PBI_DirectQuery_Unrestricted

Cloud:
GlobalCloud

Time:
Mon Oct 23 2017 08:55:49 GMT+0100 (GMT Summer Time)

Client Error Code:
ServiceErrorToClientError

Error Details:
R script error.
Loading required package: ggplot2
Loading required package: grid
Loading required package: gridExtra
Warning message:
package 'gridExtra' was built under R version 3.4.2
Loading required package: wesanderson
Warning message:
package 'wesanderson' was built under R version 3.4.2
Loading required package: RColorBrewer
Loading required package: dplyr
Warning messages:
1: In library(package, lib.loc = lib.loc, character.only = TRUE, logical.return = TRUE, :
there is no package called 'dplyr'
2: In libraryRequireInstall("dplyr") :
*** The package: 'dplyr' was not installed ***
Error in `levels<-`(`*tmp*`, value = if (nl == nL) as.character(labels) else paste0(labels, :
factor level [2] is duplicated
Calls: sortDataset -> factor
Execution halted

Stack Trace:
Microsoft.PowerBI.ExploreServiceCommon.ScriptHandlerException: R script error.
Loading required package: ggplot2
Loading required package: grid
Loading required package: gridExtra
Warning message:
package 'gridExtra' was built under R version 3.4.2
Loading required package: wesanderson
Warning message:
package 'wesanderson' was built under R version 3.4.2
Loading required package: RColorBrewer
Loading required package: dplyr
Warning messages:
1: In library(package, lib.loc = lib.loc, character.only = TRUE, logical.return = TRUE, :
there is no package called 'dplyr'
2: In libraryRequireInstall("dplyr") :
*** The package: 'dplyr' was not installed ***
Error in `levels<-`(`*tmp*`, value = if (nl == nL) as.character(labels) else paste0(labels, :
factor level [2] is duplicated
Calls: sortDataset -> factor
Execution halted

Any insights off the bat? Or I can follow it up with the creator.

Thanks again

[boefraty]

Hi @C_Houghton, 

*** The package: 'dplyr' was not installed *** 

Try to install it manually from RStudio

> install.packages("dplyr") 

[C_Houghton]

Hi there,

I installed that package - looks slightly better:

Error Details:

R script error.

Loading required package: ggplot2

Loading required package: grid

Loading required package: gridExtra

Warning message:

package 'gridExtra' was built under R version 3.4.2

Loading required package: wesanderson

Warning message:

package 'wesanderson' was built under R version 3.4.2

Loading required package: RColorBrewer

Loading required package: dplyr

Attaching package: 'dplyr'

The following object is masked from 'package:gridExtra':

    combine

The following objects are masked from 'package:stats':

    filter, lag

The following objects are masked from 'package:base':

    intersect, setdiff, setequal, union

Error in `levels<-`(`*tmp*`, value = if (nl == nL) as.character(labels) else paste0(labels,  :

  factor level [2] is duplicated

Calls: sortDataset -> factor

Execution halted 

[boefraty]

Hi, 

Make sure Dates are not hierarchies and no summary applied on other fields. 

You welcome to send me the PBIX and I'll have a look . 

boefraty @  microsoft  .  com 

[numbersei]

Good morning!

Congrats for the great job. 🙂

It is very useful for me.

One question: where is defined the variable datetime_start?

ggplot(dataset,aes(x=datetime_start, y=dataset$Room, color=Person)) +
  geom_segment(aes(x=From,xend=To,yend=dataset$Room),size=15) +
  scale_colour_discrete(guide=guide_legend(override.aes=list(size=10))) +
ggtitle("Room reservations for building X") + xlab("") + ylab("") + theme_bw()

Thanks for your time! 🙂

[boefraty]

Hi @numbersei, 

Sorry for delay in reponse. Do you still need help to your project? 

To your question datetime_start is a typo in code. Luckily it was ignored by ggplot because aes is replaced. 

[jmpace]

Hey, I'm so green with R, I was wondering if you might be able to give me a head start. Literally, I started looking at it today after I saw your post.

How would you adapt this to a production process? That's what I want to do.

Say products "A" and "B" entering various different stages (1, 2, 3) of the development process.

Any head start would be really appreciated.

As a side note, it looks like your data model in PBI is really simple! I like that! I would totally build a simple table based off of referenced queries.

And you're just using a few lines of R to extract that and create the visual. It seems very cool!

[boefraty]

Hi @jmpace, 

Did you get any help with your project? Sorry for late response. 

Please contact me if you still need any help with it. 

The developer of this visual @fathomson did an excelent job converting this R visual to custom visual. 

Which is still available here. And I hope one day will be avaialble in AppSource.   BTW, please check if Gantt chart can be useful for you. 

[boefraty]

Hi Frank,

Thanks for your new R-showcases. They are very useful.  If you consider to convert some of your R-visuals to R-powered-custom visuals, out team will be happy to assist you. 

The visibility of R-powered custom visuals is greater and it is not limited for R-users. 

[PolymathConsult]

This is great, exactly what I was looking for. I am quite new tto R, but was wondering......using the below script:

## Show schedule of projects by start / end date
#

library(ggplot2) # Visualization

# Convert timestamp to POSIXct. What do I do here to make the x-axis format to show yyyy/mm/dd? or alternatively mmm-yy?
dataset$From<-as.POSIXct(dataset$From,format="%Y-%m-%dT%H:%M:%OS")
dataset$To<-as.POSIXct(dataset$To,format="%Y-%m-%dT%H:%M:%OS")

ggplot(dataset,aes(x=datetime_start, y=dataset$Room, color=Person)) +
geom_segment(aes(x=From,xend=To,yend=dataset$Room),size=15) +
scale_colour_discrete(guide=guide_legend(override.aes=list(size=10))) +
ggtitle("Room reservations for building X") + xlab("") + ylab("") + theme_bw()

Thanks again and keep up the good work!!

Kind Regards, 

Llewellyn

[Anonymous]

@PolymathConsult,

Try adding a datetime scale similar to below:

scale_x_datetime(breaks = date_breaks("1 month"), labels=date_format("%d/%m/%Y"))

 You may also want to turn the date on the X axis for easier reading

theme(axis.text.x = element_text(angle = 90))

P.S. You'll need to load library(scales) to use the scale_x_datetime function... 

[mike_honey]

There doesnt appear to be any R packages attached to this topic?

[fathomson]

Hi Mike,

The R code is inside the powerbi dashboard file.