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How to fix the size of the tables on power BI


By : user2174319
Date : October 18 2020, 08:10 AM
To fix the issue you can do Go to Vizualizations pane. In rows, where you have "score", click on a triangle. In a menu that pops up, check "Show items with no data".
code :


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Sample size and power calculation in r as viable alternative to proc power in SAS?


By : Park Jae Hyung
Date : March 29 2020, 07:55 AM
I hope this helps you . In pwr.t.test and its derivatives, d is not the null difference (that's assumed to be zero), but the effect size/hypothesized difference between the two populations. If the difference between population means is zero, no sample size will let you detect a nonexistent difference.
If population A has a proportion of 15% and population B has a proportion of 30%, then you use the function pwr::ES.h to calculate the effect size and do a test of proportions like:
code :
> pwr.2p.test(h=ES.h(0.30,0.15),power=0.80,sig.level=0.05)

     Difference of proportion power calculation for binomial distribution (arcsine transformation) 

              h = 0.3638807
              n = 118.5547
      sig.level = 0.05
          power = 0.8
    alternative = two.sided

NOTE: same sample sizes

> pwr.chisq.test(w=ES.w1(0.3,0.15),df=1,sig.level=0.05,power=0.80)

     Chi squared power calculation 

              w = 0.2738613
              N = 104.6515
             df = 1
      sig.level = 0.05
          power = 0.8

NOTE: N is the number of observations

Add column of previous values from table of tables in Power BI / Power Query


By : crazy games
Date : March 29 2020, 07:55 AM
like below fixes the issue Similar to my answer here, instead of adding just one index, you can add two, one starting from 0 and one starting from 1, which we use to calculate the previous row by performing a self merge.
code :
let
    Source = Table.FromRows({{"A",#date(2019,1,1)},{"A",#date(2019,1,3)},{"B",#date(2019,1,2)},{"A",#date(2019,1,4)},{"B",#date(2019,1,5)}}, {"Name", "Date"}),
    ChangeTypes = Table.TransformColumnTypes(Source,{{"Name", type text}, {"Date", type date}}),
    GroupByName = Table.Group(ChangeTypes, {"Name"}, {{"tmp", each _, type table}}),
    AddIndices = Table.AddColumn(GroupByName, "Custom", each Table.AddIndexColumn(Table.AddIndexColumn([tmp],"Occurrence", 1,1),"Prev",0,1)),
    ExpandTables = Table.ExpandTableColumn(AddIndices, "Custom", {"Date", "Occurrence", "Prev"}, {"Date", "Occurrence", "Prev"}),
    SelfMerge = Table.NestedJoin(ExpandTables,{"Name", "Prev"},ExpandTables,{"Name", "Occurrence"},"Expanded Custom",JoinKind.LeftOuter),
    ExpandPriorDate = Table.ExpandTableColumn(SelfMerge, "Expanded Custom", {"Date"}, {"Prior Date"}),
    RemoveExtraColumns = Table.RemoveColumns(ExpandPriorDate,{"Prev", "tmp"})
in
    RemoveExtraColumns

Concatenate two more tables in power bi


By : Michaël Dohr
Date : March 29 2020, 07:55 AM
Any of those help You can use Combine -> Append Queries -> Append Queries as New to combine these tables into one:

Power BI: Multiple tables as output of Python in Power Query


By : user3019742
Date : March 29 2020, 07:55 AM
hop of those help?
Am I correct that this second table needs to be a Pandas Dataframe?
code :
# 'dataset' holds the input data for this script
import numpy as np
import pandas as pd
var1 = np.random.randint(5, size=(2, 4))
var2 = pd.DataFrame(np.random.randint(5, size=(2, 4)))
var3 = 3
var4 = pd.DataFrame([type(var3)])
var5 = pd.Series([type(var3)])
print(type(var1))
<class 'numpy.ndarray'>

print(type(var2))
<class 'pandas.core.frame.DataFrame'>

print(type(var3))
<class 'int'>

print(type(var4))
<class 'pandas.core.frame.DataFrame'>

print(type(var5))
<class 'pandas.core.series.Series'>

Power BI Aggregations - Detail Tables Must Be DirectQuery Tables?


By : user3315834
Date : March 29 2020, 07:55 AM
may help you . This is currently a limitation that Microsoft has imposed at least while aggregates are still in preview.
From Microsoft's documentation:
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