logo
Tags down

shadow

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 :
require('tidyr')


Share : facebook icon twitter icon

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)

ActiveWorkbook.Sheets.Add
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
    Next

    Call bubblesortLosses(j, UBound(xval))

    Sheets(sheetName).Select

    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
    Next

    seriesNumber = seriesNumber + 1

Next

ActiveWorkbook.Charts.Add
ActiveChart.ChartArea.Select
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
Sheets(ActiveWorkbook.Sheets.count).Activate

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)
sns.plt.show()
p = Bar(long_df,
    plot_width=1000,
    plot_height=800,
    label='type',
    values='value',
    bar_width=0.4,
    group='variable',
    legend='top_right')

show(p)

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.
Related Posts Related Posts :
  • Why is the type integer?
  • How to write a nested IF and RAND excel statement
  • apply chisq.test for contingency table over a dataframe using 4 row observations
  • efficient way to create a new variable from multiple columns in R dataframe
  • set names with magrittr where both name and value are variable of data.frame?
  • Rule tables to avoiding nested ifelse statements
  • How to compare duplicated values and filter out unwanted ones in a R data frame?
  • How to add legends in this context?
  • How to sort single letters before double letters
  • R Stacked percentage bar plot with percentage of two factor variables with ggplot
  • Calculate date of birth given age
  • I want to convert scatter plot to a heat map tile plot over a tennis court image
  • Series of correlation matrices in R
  • binomial regression model produces glm.fit error
  • Create multiple lists with one command
  • Calculate n-dimensional euclidean distance from group centroids for each sample and select the lowest 3 for each group i
  • RSQLite: How to increase number of columns and parameters?
  • How to get line number of a function call in R?
  • about ggsave in superheat package
  • Multiple Select All buttons causing problems with interactivity in Shiny map
  • Why does it say my tree has no branch lengths when it does?
  • How to match row to column when 'Yes' is entered in multiple columns
  • read.fwf does not read all lines in a fixed width files
  • Is there any R code to repeat a same value for multiple rows?
  • Problems replacing character values in a dataframe in R
  • More efficient way to perform calculations on multiple (combined) columns by group
  • Add titles to facets
  • using 'by()' descriptive statistics are calculated in groups
  • What does %T>% function mean in R?
  • Improve speed of r 'for loop'
  • Citations in DT:datatable
  • Addressing to subsequent objects in loop function in R
  • How to delete from vector using ifelse condition in R
  • Perform large no. of iterations efficiently without using for loops
  • Need to create ggplot heatmap with NA-only data, but get "Error: Must request at least one colour from a hue palett
  • Unable to use "count" function in R
  • Applying a function to the last result in R with minimal typing
  • R : Find Column with highest value
  • A function in R for "joining"/"concantenating" word lists
  • Change/Map levels of a data frame columns using other reference list in R
  • My package is not recognizing the exported functions of an imported package in R
  • dplyr / tidy way to filter a vector based on a substring?
  • Reverting to previous ordering of factor after using relevel() and fitting GLM in R
  • integrating R dataframes and performing operations based on column values
  • r add background color to geom_label()
  • R call different variables dynamically
  • How to access data name from a list of time-series in R?
  • Time Series plot.ts and x label
  • Specify order of sequence with paste and rep functions
  • How can I loop over each row in R and see if a condition is met to change the format of a date?
  • Loop in R to find the max of a matrix
  • Harvard citation format in R markdown
  • In R when using accessor "[", what is the default behavior when using on data frames?
  • histogram in R with for loop
  • Keep specific date range before and after a timestamp
  • Extract dates in various formats from string in R
  • Get (web) url for help documentation in R?
  • Mean of 3 dataframes with same dimensions
  • Calculate adstock using data.table
  • dataframe in R make empty and column after that
  • shadow
    Privacy Policy - Terms - Contact Us © 35dp-dentalpractice.co.uk