Stacked bar chart in R (ggplot14) with y axis and bars as percentage ...
Stacked bar chart in R (ggplot14) with y axis and bars as percentage ... | r ggplot bar chart

11 Quick Tips Regarding R Ggplot Bar Chart | R Ggplot Bar Chart

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Creating a bar blueprint with R in SQL Server 2017 is relatively easy. It’s aloof a amount of award the absolute functions, components, and backdrop of the amalgamation of your choice. For our archetype here, I am application ggplot2 which is apparently the best accepted acute arrangement for R.

Stacked bar chart in R (ggplot14) with y axis and bars as percentage ..
Stacked bar chart in R (ggplot14) with y axis and bars as percentage .. | r ggplot bar chart

Image Source: imgur.com

Let’s actualize a quick bright bar graph. This should authenticate how accessible it is to use ggplot2 in SQL Server 2017 with R. “Easy”, of course, is a about term. Well, it’s not accessible on the access as you accept to get yourself acclimatized with all the apparatus of the package. But already you’re accomplishing this on approved basis, you’ll get the adhere of it. Think of the time back you’re still acquirements how to address your aboriginal Select account in SQL.

Let’s activate with the end in mind. Here’s our cheesy bright bar graph:

Let’s install the amalgamation if it hasn’t been installed yet. The easiest way to do that is to run RGUI.exe that came with your SQL Server 2017 In-Database Machine Acquirements installation. You can acquisition it here:

C:Program FilesMSSQL14.MSSQLSERVERR_SERVICESbinx64

Take agenda that you charge to run the executable as Administrator. Also, if you’ve installed the R agent above-mentioned to your SQL Server 2017 In-Database Machine Acquirements with R, you accept to absolutely acquaint the R amalgamation installer area you appetite your amalgamation installed.

> install.packages(“ggplot2″, lib=”C:\Program Files\Microsoft SQL Server\MSSQL14.MSSQLSERVER\R_SERVICES\library”, dep = TRUE)

ggplot14: Barplots | Learning R - r ggplot bar chart
ggplot14: Barplots | Learning R – r ggplot bar chart | r ggplot bar chart

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dep = TRUE tells the installer to install dependencies. ggplot2 depends on a lot of added packages. You can analysis dependencies application MiniCRAN.

Our dataset is based on the WorldWideImporters database. Actuality we’ve got the Sum of Line Profit per Stock Group:

USE WideWorldImporters;GO

SELECT sg.StockGroupName,SUM(il.LineProfit) AS LineProfitFROM Sales.InvoiceLines ilJOIN Warehouse.StockItems siON il.StockItemID = si.StockItemIDJOIN Warehouse.StockItemStockGroups sisON si.StockItemID = sis.StockItemIDJOIN Warehouse.StockGroups sgON sis.StockGroupID = sg.StockGroupIDGROUP BY sg.StockGroupName;

Let’s actualize a agenda for the cartoon achievement –C:Marlon_Test.

Here’s the calligraphy that we canyon to @script constant for sp_execute_external_script:

Plotting in R tutorial: Gorgeous graphs with ggplot14 - YouTube - r ggplot bar chart
Plotting in R tutorial: Gorgeous graphs with ggplot14 – YouTube – r ggplot bar chart | r ggplot bar chart

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library(ggplot2); chartStockGroupProfit <- “C:\Marlon_test\StockGroupProfit.png” png(filename=chartStockGroupProfit, width=1000, height=800) StockGroupProfit <- InputDataSet StockGroupProfitChart <- ggplot(data=StockGroupProfit, aes(x=StockGroupName, y=LineProfit)) geom_bar(stat=”identity”) print(StockGroupProfitChart)

Where:

chartStockGroupProfit – Filename

StockGroupProfit – Abstracts Anatomy based on the InputDataSet (see Select Account above)

StockGroupProfitChart – The absolute chart

Let’s put that together. Note: Although you defined you capital to install the dependencies for the ggplot2 amalgamation (dep = TRUE), the installer in some cases ability not install all of them. If the ggplot2 fails with “missing package” error, aloof install the specified package application RGui.exe (see above).

EXEC sp_execute_external_script @language = N’R’,@script = N’ library(ggplot2); chartStockGroupProfit <- “C:\Marlon_test\StockGroupProfit.png” png(filename=chartStockGroupProfit, width=1000, height=800) StockGroupProfit <- InputDataSet StockGroupProfitChart <- ggplot(data=StockGroupProfit, aes(x=StockGroupName, y=LineProfit)) geom_bar(stat=”identity”) print(StockGroupProfitChart)’, @input_data_1 = N’ SELECT sg.StockGroupName, SUM(il.LineProfit) AS LineProfitFROM Sales.InvoiceLines il JOIN Warehouse.StockItems si ON il.StockItemID = si.StockItemID JOIN Warehouse.StockItemStockGroups sis ON si.StockItemID = sis.StockItemID JOIN Warehouse.StockGroups sg ON sis.StockGroupID = sg.StockGroupIDGROUP BY sg.StockGroupName;’;

R tips: 14 HOWTO’s with examples for data analysts – r ggplot bar chart | r ggplot bar chart

Image Source: bookdown.org

You may altercate that the aloft blueprint looks a lot bigger than our bright blueprint at the top of this blog. But arguments aside, let’s put on some formatting.

You may apprehension that the Y-Axis (Line Profit) is not in Dollar ($) format. The Packaging Material accumulation is added than $50,000,000.00.

Well, you can altercate about the artful of the graph, but you may accede that the exponential architecture of the Line Profit is not absolutely intuitive.

If we bisect the LineProfit by the exponential amount of 1e6 (1 times 10 to the ability 6, which is 1,000,000), again we get a clear metrics:

aes(x=StockGroupName, y=LineProfit/1e6)

To architecture that amount in Dollars ($), we charge to add addition library to the calligraphy – library(scales).

Johannes Filter - r ggplot bar chart
Johannes Filter – r ggplot bar chart | r ggplot bar chart

Image Source: johannesfilter.com

Then we can do:

scale_y_continuous(labels = dollar)

You may apprehension that the Y-Axis Label says “LineProfit/1e 06”. That can calmly be renamed by application the lab() function:

labs(x=”Product Groups”, y=”Line Profit (Millions)”)

To architecture the abstracts anatomy labels, use the theme() function:

theme(text = element_text(size=20, color=”blue”), axis.text.y = element_text(size=18, face=”d”), axis.text.x = element_text(size=18, face=”d”, angle=80, vjust = 0.5))

Then, we should accept article like this:

R graph gallery: RG#14: Stacked bar chart (number and percent) - r ggplot bar chart
R graph gallery: RG#14: Stacked bar chart (number and percent) – r ggplot bar chart | r ggplot bar chart

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Just to accept the blueprint accessible to read, let’s alter the bar in bottomward order.

Plus, we don’t absolutely like to attending at confined that assume to resemble that of a bedraggled feel action (you’ll see it).

aes(x=reorder(StockGroupName,-LineProfit / 1e6), y=LineProfit / 1e6))

To accept that bubble aftereffect on the bars, adapt the geom_bar() like this:

geom_bar(stat=”identity”,fill = rainbow(n=length(StockGroupProfit$LineProfit)))

Here’s the complete R code:

r - Generate paired stacked bar charts in ggplot (using ..
r – Generate paired stacked bar charts in ggplot (using .. | r ggplot bar chart

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EXEC [email protected] = N’R’,@script = N’# Use ggplot2/scaleslibrary(ggplot2);library(scales)# Actualize blueprint book (folder charge be existing)chartStockGroupProfit <- “C:\Marlon_test\StockGroupProfit.png”png(filename=chartStockGroupProfit, width=1000, height=800)# Define abstracts frameStockGroupProfit <- InputDataSet# Build chartStockGroupProfitChart <- ggplot(data=StockGroupProfit, aes(x=reorder(StockGroupName,-LineProfit / 1e6), y=LineProfit / 1e6)) geom_bar(stat=”identity”,fill = rainbow(n=length(StockGroupProfit$LineProfit))) theme(text = element_text(size=20, color=”blue”), axis.text.y = element_text(size=18, face=”d”), axis.text.x = element_text(size=18, face=”d”, angle=80, vjust = 0.5)) labs(x=”Product Groups”, y=”Line Profit (Millions)”) scale_y_continuous(labels = dollar)print(StockGroupProfitChart)’,@input_data_1 = N’SELECT sg.StockGroupName,SUM(il.LineProfit) AS LineProfitFROM Sales.InvoiceLines ilJOIN Warehouse.StockItems siON il.StockItemID = si.StockItemIDJOIN Warehouse.StockItemStockGroups sisON si.StockItemID = sis.StockItemIDJOIN Warehouse.StockGroups sgON sis.StockGroupID = sg.StockGroupIDGROUP BY sg.StockGroupName;’

There you go. Happy plotting!

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