Learn to plot Data Using R and GGplot2: Import, manipulate , graph and customize the plot, graph скачать в хорошем качестве

Learn to plot Data Using R and GGplot2: Import, manipulate , graph and customize the plot, graph

#RProgramming #DataAnalysis #DataVisualization #ggplot2 #LearnR #DataScienceTutorial #RStudio #PlottingData #ResearchTools #DataScience #StatisticalAnalysis #DataVisualizationTips #DataGraphs #OpenSourceData #PublicationReadyPlots #ProgrammingForBeginners #LifeScienceResearch #ScienceWithR #CodingTutorial #VisualizationWithR This tutorial explains how to create publication-ready graphs using R programming and ggplot2. It covers everything from importing and handling data to plotting and customizing graphs. The session is focused on practical steps to visualize data effectively. What You’ll Learn: Setting up the working directory and importing data Understanding data frames and summarizing data Basic plotting with base R Introduction to ggplot2 and its grammar of graphics Creating scatter plots, adding trendlines, and customizing themes Converting wide-format data to long-format for better analysis Visualizing distributions with box plots and violin plots Summarizing data with dplyr for cleaner plots Who Should Watch: Students and researchers working with data Professionals needing clear and impactful visualizations Anyone learning R for data analysis If this tutorial is useful, like the video and subscribe to the channel for more R programming and data analysis content. Share it with others who want to improve their data visualization skills. 0:00 Introduction to the Session 0:16 Overview of the Data 1:41 Setting Up the Environment 2:46 Understanding the Data Frame 4:21 Basic Plotting with Base R 6:01 Installing and Loading ggplot2 7:21 Basic ggplot2 Plotting 10:01 Adding Trendlines and Customizations 13:01 Converting Data from Wide to Long Format 16:21 Advanced ggplot2 Customizations 19:31 Summarizing Data with dplyr 22:21 Box Plots and Violin Plots 25:11 Combining Geoms and Avoiding Overplotting 27:31 Final Customizations and Conclusion Facebook page:   / rajendrachoureisc   Mail Id: [email protected] youtube playlist:    • R programming tutorials   #Code used in this tutorial ( You can copy-paste from this downward.) data file link : https://drive.google.com/file/d/1JPJu... setwd("D:/Rworks/datatoplot") # Change working directory to directory where your data file is saved getwd() df = read.csv("polyphenolassay.csv") df summary(df) str(df) plot(df) install.packages("ggplot2") library(ggplot2) ggplot(df, aes(conc,rep1))+ geom_point()+ geom_point(aes(y=rep2),color="red")+ geom_point(aes(y=rep3),color="green")+ geom_smooth(method="lm",formula=y~x-1,se=0)+ geom_smooth(aes(y=rep2),method="lm",formula=y~x-1,se=0,color="red")+ geom_smooth(aes(y=rep3),method="lm",formula=y~x-1,se=0,color="green")+ theme_classic()+ labs(title="Estimation of Polyphenol Content",subtitle="Folin Dennis Method",caption="Exepriment conducted as biochemistry lab", x="Concentration of polyphenol in mcg/ml",y="OD795nm") install.packages("tidyr") library(tidyr) df_long= pivot_longer(df,cols=2:4,names_to = "rep",values_to = "OD795") df_long str(df_long) ggplot(df_long, aes(conc,OD795,color= rep))+ geom_point()+ geom_smooth(method="lm",formula=y~x-1,se=0)+ theme_classic()+ labs(title="Estimation of Polyphenol Content",subtitle="Folin Dennis Method",caption="Exepriment conducted as biochemistry lab", x="Concentration of polyphenol in mcg/ml",y="OD795nm") install.packages("dplyr") library(dplyr) I have removed the pipes as angled brackets are not allowed in description df_summary= group_by(df, conc) df_summary= summarise(df_summary, mean_OD795=mean(OD795)) ggplot(df_summary, aes(conc,mean_OD795))+ geom_point()+ geom_smooth(method="lm",formula=y~x-1,se=0)+ theme_classic()+ labs(title="Estimation of Polyphenol Content",subtitle="Folin Dennis Method",caption="Exepriment conducted as biochemistry lab", x="Concentration of polyphenol in mcg/ml",y="OD795nm") ggplot(df_long, aes(rep,OD795,color= rep))+ geom_boxplot()+ theme_classic()+ labs(title="Estimation of Polyphenol Content",subtitle="Folin Dennis Method",caption="Exepriment conducted as biochemistry lab", x="Concentration of polyphenol in mcg/ml",y="OD795nm") ggplot(df_long, aes(rep,OD795,color= rep))+ geom_violin()+ geom_jitter()+ theme_classic()+ labs(title="Estimation of Polyphenol Content",subtitle="Folin Dennis Method",caption="Exepriment conducted as biochemistry lab", x="Concentration of polyphenol in mcg/ml",y="OD795nm")