Hi @VI_Migration, do you have any idea of such a high number indicated
in the 2nd chart (100 and 200) ? One person cannot work 100 and 200
hours a week...Does it have something to do with wrongly setting the
work week span? Although, other reports seem fine when comes to the
numbers in a week span.
Here is a cleaned-up example on how to load in a csv file and to run the
above person-averaging function: import pandas as pd # path to person
query sq_data = pd.read_csv('../data/demo spq.csv') # function for
person-averaging def analyse_metric(data, metric, hrvar): data =
data.groupby(['PersonId',...
For reference, the documentation for this function is linked here:
https://microsoft.github.io/wpa/reference/flex_index.htmlAs
pre-requisites, you'll need to install the {wpa} R library (which you
will need R) and download an Hourly Collaboration Query.
Hi @VI_Migration - this is a great question, and actually can be a great
addition to the documentation examples!The plots on `igraph` can be best
customized with a combination of `ggplot2` and `ggraph`. Here is a
simple code example, where this effectively asks `network_p2p()` to
export an igraph ob...
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