#gridExtra - Twitter Hashtag

Dr.M S Uddin,MRCPCH(UK), FRCP (Edin), FRCP (Glasg)

about 3 years ago

📊📈📉📊📈📉#Rstats Struggling with multiple plots on a single page in #Rprogramming? 🤔 Check out these tips to make it easier: 1. Use the #ggplot2 package for creating plots with a single command. 📊 2. Use the #gridExtra package to arrange multiple plots on a single page. 📈 3. Use the #cowplot package to create complex layouts with multiple plots. 📉 Here's an example code snippet to get you started: ``` library(ggplot2) library(gridExtra) library(cowplot) plot1 <- ggplot(data = mtcars, aes(x = mpg, y = hp)) + geom_point() plot2 <- ggplot(data = mtcars, aes(x = mpg, y = wt)) + geom_point() grid.arrange(plot1, plot2, ncol = 2) ``` Try it out and simplify your #dataVisualization! 📊👀 #RStats #DataScience #DataViz #ProgrammingTips 📊📈📉📊📈📉 By using these tips and packages, you can create professional-lookingplots and simplify your data visualization process in R programming. Give it a try and see how it can improve your work! 🚀

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Sean Maden @MadenSean

over 3 years ago

My newest gist shows how to simulate and plot Poisson and Negative Binomial distributions with #Rstats #ggplot #gridExtra #statistics #simulation https://t.co/omgLwRFq98

MadenSean's tweet photo. My newest gist shows how to simulate and plot Poisson and Negative Binomial distributions with #Rstats #ggplot #gridExtra #statistics #simulation https://t.co/omgLwRFq98 https://t.co/09kYlaLZdP

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Susana Pérez-Álvarez @susana4dats

over 5 years ago

@MollySimonis @rstats4ds In similar cases, #gridArrange from #gridExtra has helped me... #rstats

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Izzy @elizabethbeales

over 6 years ago

Not the prettiest, but learnt a lot of data wrangling stuff with #dplyr and also about using the package #countrycode and #gridExtra Any tips/advice welcome! Code here: https://t.co/gma2mlMX5T #RLadies #IzzyLearnsToCode #IzzyLearnsR #RStats

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MITTI

@MITTI12101

over 7 years ago

先輩の千葉での発表のグラフを作成。だいぶ慣れたと思ったけど、思わぬところで引っかかって苦戦した。今回は #ggplot2 に加えて #gridExtra も使用。まだまだだけど経験値は積めているかな。もっと早く作れるようになりたい。

MITTI12101's tweet photo. 先輩の千葉での発表のグラフを作成。だいぶ慣れたと思ったけど、思わぬところで引っかかって苦戦した。今回は #ggplot2 に加えて #gridExtra も使用。まだまだだけど経験値は積めているかな。もっと早く作れるようになりたい。 https://t.co/XmJoWvqL5Q

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Abiyu Giday

@abiyugiday

over 7 years ago

showing the data next to the plot ismade possible by #gridExtra , tableGrob, textGrob, and grrid.arrange. #ggplot2 #rstats

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R-Ladies Cape Town @RLadiesCapeTown

about 8 years ago

If you came to last week's presentation on mapping with #ggmap here is the vignette for #gridExtra for making beautiful composite maps :) https://t.co/xIZUcEv2yV

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Fatma Çınar @fatma_cinar_ftm

over 8 years ago

#MITLoansRiskDataSet #DataLabTarining color_group #investmentreason X<-reorder(ks$KREDI_RISK,ks$VADELI_MEV) Y<-reorder(ks$KREDI_RISK,ks$VADESIZ_MEV) grid.arrange(p1+tlb,p2+tlb,ncol=2) #gridExtra #boxplot #ggplot2 @rstatsbot1234 #casestudy @MIT #rstats #DataViz @DataLabTR

fatma_cinar_ftm's tweet photo. #MITLoansRiskDataSet #DataLabTarining color_group #investmentreason
X<-reorder(ks$KREDI_RISK,ks$VADELI_MEV)
Y<-reorder(ks$KREDI_RISK,ks$VADESIZ_MEV)
grid.arrange(p1+tlb,p2+tlb,ncol=2)
#gridExtra #boxplot #ggplot2 @rstatsbot1234 #casestudy @MIT #rstats #DataViz @DataLabTR https://t.co/MKZvsFztpw

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Fatma Çınar @fatma_cinar_ftm

over 8 years ago

#MITLoansRiskDataSet #DataLabTarining X<-reorder(ks$YATIRIM_NEDEN,ks$VADELI_MEV) Y<-reorder(ks$YATIRIM_NEDEN,ks$VADESIZ_MEV) grid.arrange(p1+tlb,p2+tlb,ncol=2) #libray #gridExtra #boxplot #ggplot2 #casestudy @MIT #DataLabTraining #statisticalmethods #rstats #DataViz @DataLabTR

fatma_cinar_ftm's tweet photo. #MITLoansRiskDataSet #DataLabTarining
X<-reorder(ks$YATIRIM_NEDEN,ks$VADELI_MEV)
Y<-reorder(ks$YATIRIM_NEDEN,ks$VADESIZ_MEV)
grid.arrange(p1+tlb,p2+tlb,ncol=2)
#libray #gridExtra #boxplot #ggplot2
#casestudy @MIT #DataLabTraining #statisticalmethods #rstats #DataViz @DataLabTR https://t.co/O2YJPnEvbw

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Kevin Purcell @kevin_purcell

over 8 years ago

Here is the #patchwork an interesting #rstats alternative to #gridExtra for multi-panel plots in #ggplot2. #rstats #dataviz #DataScience https://t.co/vvnT3XilAH