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Getting an error when using gather to create clustered bar chart

By : Janet
Date : September 15 2020, 11:00 PM
I wish did fix the issue. We can use require to install and load the package tidyr as gather is from tidyr
code :

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What are the chart type code for clustered chart?

By : Kubtops
Date : March 29 2020, 07:55 AM
fixed the issue. Will look into that further You can see a list of Excel's chart types here.
According to this -4100 is xl3DColumn (3D Column)

Excel VBA: Create a clustered column chart that sorts based on value not series?

By : sebastian423
Date : March 29 2020, 07:55 AM
Does that help After a lot of searching, I found a combination of solutions that worked for me, mostly drawing information from this link: http://peltiertech.com/chart-with-a-dual-category-axis/
...As well as from a variety of StackOverflow posts indicating that doing this is impossible programmatically and must be done through the worksheet, which has worked for me. I filled in worksheet cells like was done in the above link, except with visual basic. Then, after the data was graphed, I hid the worksheet. This works for me because the worksheets are cleared every time the user starts over with a new data set. Here is my code:
code :
Sub Distribution()
Dim runningTotal, seriesNumber, sheetName

seriesNumber = 1
runningTotal = 2

currDist = currDist + 1
sheetName = "DistData" + CStr(currDist)

ActiveSheet.Move After:=Sheets(ActiveWorkbook.Sheets.count)
ActiveSheet.Name = sheetName
ActiveSheet.Visible = True

For j = 0 To UBound(chartLabels)
    If IsEmpty(chartLabels(j)) Then Exit For
    Erase xval
    Erase yval
    ReDim Preserve xval(0 To 0)
    ReDim Preserve yval(0 To 0)
    xval(0) = chartData(0, j, 0)
    yval(0) = chartData(2, j, 0)

    For i = 0 To UBound(chartData, 3) - 1
        If Not IsEmpty(chartData(2, j, i + 1)) Then
            ReDim Preserve xval(0 To i + 1)
            ReDim Preserve yval(0 To i + 1)
            xval(i + 1) = chartData(0, j, i + 1)
            yval(i + 1) = chartData(2, j, i + 1)
        End If

    Call bubblesortLosses(j, UBound(xval))


    Cells(1, seriesNumber + 2) = chartLabels(j)
    Cells(runningTotal, 1) = chartLabels(j)

    For k = 0 To UBound(xval)
        Cells(runningTotal, 2) = xval(k)
        Cells(runningTotal, seriesNumber + 2) = yval(k)
        runningTotal = runningTotal + 1

    seriesNumber = seriesNumber + 1


With ActiveChart
    .ChartType = xlColumnStacked
    .HasTitle = True
    .ChartTitle.Text = "Ordered Distribution Graph"
    .Axes(xlCategory).TickLabels.MultiLevel = True
    .Axes(xlCategory).HasTitle = True
    .Axes(xlCategory).AxisTitle.Characters.Text = "Item"
    .Axes(xlCategory).CategoryType = xlCategoryScale
    .Axes(xlValue).HasTitle = True
    .Axes(xlValue).AxisTitle.Characters.Text = "Total"
    .Legend.Position = xlLegendPositionBottom
End With

ActiveSheet.Move After:=Sheets(ActiveWorkbook.Sheets.count)
ActiveSheet.Name = "Distribution " + CStr(currDist)

ActiveChart.ChartGroups(1).GapWidth = 10
ActiveChart.ChartGroups(1).Overlap = 100

Sheets(sheetName).Visible = False

End Sub

Create clustered bar chart across two columns in bokeh

By : Kinger
Date : March 29 2020, 07:55 AM
around this issue Your table is "wide" format. you want to melt it to a long format first using pd.melt() function. For visualization,I suggest you use the "Seaborn" package and make your life easier. you can visualize every thing in one line.
code :
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt

your_df = pd.DataFrame(data={'type': ['A','B','C'],
      'price1':[5450, 5450, 15998],
      'price2' : [3216, 20000, 15000]})

long_df = pd.melt(your_df,id_vars = ['type'],value_vars =['price1','price2'])
print long_df

my_plot = sns.barplot(x="type", y="value",hue = "variable", data=long_df)
p = Bar(long_df,


How to create an linear model output with clustered (by firms) standard error in R

By : Victor S
Date : March 29 2020, 07:55 AM
seems to work fine There are many ways to calculate clustered standard errors. The easiest is probably to use the estimatr package: instead of using lm(), use the lm_robust() function with the clusters argument.
But lm_robust() produces objects of class lm_robust, and stargazer won't work with objects of that class. To get clustered SEs in stargazer, see Cluster-Robust Standard Errors in Stargazer.

Error while running Update-Database telling me that cannot create more than one clustered index on table

By : Ana Maranan
Date : March 29 2020, 07:55 AM
will be helpful for those in need Ahh... I found out another quetion which helped me to resolve the issue.
here is Original question and here is an article with more details about proper Migrations procedure.
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