# line plot in r ggplot2

ggplot2 is the most elegant and aesthetically pleasing graphics framework available in R. It has a nicely planned structure to it. It can also be used to customize quickly the plot parameters including main title, axis labels, legend, background and colors. Note that an eBook is available on easyGgplot2 package here. Licence : This document is under creative commons licence (http://creativecommons.org/licenses/by-nc-sa/3.0/). You can read more on line types here : ggplot2 line types, If you want to change also point shapes, read this article : ggplot2 point shapes. Set the value to FALSE to hide axis labels. Breaking down a plot into layers is important because it is how the ggplot2 package understands and builds a plot. In this case, the length of groupColors should be the same as the number of the groups. When the variable on the x-axis is numeric, it is sometimes useful to treat it as continuous, and sometimes useful to treat it as categorical. The post consists of this content: 1) Example Data, Packages & Basic Graph. In this tutorial, we will work towards creating the trend line and diagnostics plots below. The examples below will the ToothGrowth dataset. Possible values for y axis scale are “none”, “log2” and log10. ggplot2 allows to build almost any type of chart. This means we will add one piece of code at a time until we have the complete plot.We are now going to plot the initial scatterplot. The name of column containing x variable (i.e groups). Note that dose is a numeric column here; in some situations it may be useful to convert it to a factor.First, it is necessary to summarize the data. The group aesthetic determines which cases are connected together. Today you’ll learn how to create impressive scatter plots with R and the ggplot2 package. Other arguments passed on to ggplot2.customize custom function or to geom_line functions from ggplot2 package. Source: R/geom-abline.r, R/geom-hline.r, R/geom-vline.r geom_abline.Rd These geoms add reference lines (sometimes called rules) to a plot, either horizontal, vertical, … We can make line plot using the geom, geom_line () in ggplot2. In a line graph, observations are ordered by x value and connected. Default value is NULL. By default, ggplot2 uses solid line type and circle shape. Use the argument brewerPalette, to specify colors using RColorBrewerpalette. This is derived from the ToothGrowth dataset included with R. Plot easily a line plot using easyGgplot2 R package. Importing the Data. It might be useful to treat these values as equal categories when making a graph. This analysis was performed using R (ver. This tutorial focusses on exposing this underlying structure you can use to make any ggplot. You have to indicate the x, y coordinates of legend box. easyGgplot2 R package can be installed as follow : The data must be a numeric vector or a data.frame (columns are variables and rows are observations). Avez vous aimé cet article? Color of groups. (The code for the summarySE function must be entered before it is called here). Indicate the type of x-axis. This tutorial helps you choose the right type of chart for your specific objectives and how to implement it in R using ggplot2. A Default ggplot. The ggplot2 package, created by Hadley Wickham, offers a powerful graphics language for creating elegant and complex plots. In a line graph, observations are ordered by x value and connected. In this data set, the dose is a numeric variable with values 0.5, 1.0, and 2.0. Line charts can be used for exploratory data analysis to check the data trends by observing the line pattern of the line graph. library (ggplot2); library (ISLR) data ("Carseats") We are going to use a layering approach in this example. The name of column containing y variable. Luckily, R makes it easy to produce great-looking visuals. Concise tutorial on how to use R Studio and ggplot2 package to create quick plots. To change line plot color according to the group, you have to specify the name of the data column containing the groups using the argument groupName. This R tutorial describes how to create line plots using R software and ggplot2 package. Creating plots in R using ggplot2 - part 11: linear regression plots written May 11, 2016 in r,ggplot2,r graphing tutorials. TIP: In R programming, 0 = blank, 1 = solid, 2 = dashed, 3 = dotted, 4 = dotdash, 5 = longdash, 6 = twodash. Introduction to Line Graph in R. Line Graph in R is a basic chart in R language which forms lines by connecting the data points of the data set. This can be done in a number of ways, as described on this page. data.frame or a numeric vector. x and y values must be between 0 and 1. c(0,0) corresponds to. e.g: yScale=“log2”. ggplot2.lineplot is an easy to use function to generate line plots in R software using ggplot2 plotting system. You have to indicate the x, y coordinates of legend box. In this case the parameter groupColors should be NULL. You can also use other color scales, such as ones taken from the RColorBrewer package. And we get a nice facet plot with a density plot for each educational category. I teamed up with Mauricio Vargas Sepúlveda about a year ago to create some graphing tutorials in R. On this blog you will find a series of tutorials on how to use the ggplot2 package to create beautiful and informative data visualisations. This tutorial uses ggplot2 to create customized plots of time series data. Learn how to create professional graphics and plots in R (histogram, barplot, boxplot, scatter plot, line plot, density plot, etc.) Avez vous aimé cet article? The different color systems available in R have been described in detail here. Introduction to ggplot. Usage : arrow=arrow(). 1 Contact : Alboukadel Kassambara alboukadel.kassambara@gmail.com. Three dose levels of Vitamin C (0.5, 1, and 2 mg) with each of two delivery methods [orange juice (OJ) or ascorbic acid (VC)] are used : In the graphs below, line types, colors and sizes are the same for the two groups : In the graphs below, line types and point shapes are controlled automatically by the levels of the variable supp : It is also possible to change manually the line types using the function scale_linetype_manual(). We will learn how to adjust x- and y-axis ticks using the scales package, how to add trend lines to a scatter plot and how to customize plot labels, colors and overall plot appearance using ggthemes. Default values are, a vector of length 3 indicating respectively the size, the style and the color of x and y axis tick label fonts. I’d be very grateful if you’d help it spread by emailing it to a friend, or sharing it on Twitter, Facebook or Linked In. With facet_wrap() function we can … The allowed values for the arguments legend.position are : “left”,“top”, “right”, “bottom”. Want to Learn More on R Programming and Data Science? In this article, you'll learn how to add titles, subtitles, captions, labels, change colors, line styles, and widths - and much more. Possible values : c(“none”, “log2”, “log10”). Read more on ggplot legend : ggplot2 legend. Default value is: mainTitleFont=c(14, “bold”, “black”). You can add an arrow to the line using the grid package : Observations can be also connected using the functions geom_step() or geom_path() : Data derived from ToothGrowth data sets are used. 2) Example: Modifying Colors of ggplot2 Line Plot. Read more on line types : ggplot2 line types. When the variable on the x-axis is numeric, it is sometimes useful to treat it as continuous, and sometimes useful to treat it as categorical. Published by STHDA (http://www.sthda.com/english). ggplot2.lineplot is an easy to use function to generate line plots in R software using ggplot2 plotting system. Enjoyed this article? This section contains best data science and self-development resources to help you on your path. Line Graph is plotted using plot function in the R language. These are the variable mappings used here: time: x-axis; sex: line color; total_bill: y-axis. It can greatly improve the quality and aesthetics of your graphics, and will make you much more efficient in creating them. I’d be very grateful if you’d help it spread by emailing it to a friend, or sharing it on Twitter, Facebook or Linked In. Data points are usually connected by straight line segments. ggplot2.lineplot function is from easyGgplot2 package. There are many different ways to use R to plot line graphs, but the one I prefer is the ggplot geom_line function. Default value is. Before we dig into creating line graphs with the ggplot geom_line function, I want to briefly touch on ggplot and why I think it's the best choice for plotting graphs in R. geom_path() connects the observations in the order in which they appear in the data. The ggplot2 package is one of the packages in the tidyverse, and it is responsible for visualization.As you continue reading through the post, keep these layers in mind. ToothGrowth describes the effect of Vitamin C on tooth growth in Guinea pigs. That means, by-and-large, ggplot2 itself changes relatively little. with the ggplot2 package Line colors are controlled automatically by the levels of the variable supp : It is also possible to change manually line colors using the functions : Read more on ggplot2 colors here : ggplot2 colors. See ../Colors (ggplot2) for more information on colors. But, the way you make plots in ggplot2 is very different from base graphics making the learning curve steep. 3.1.0), easyGgplot2 (ver 1.0.0) and ggplot2 (ver 1.0.0). We use the contour function in Base R to produce contour plots that are well-suited for initial investigations into three dimensional data. This R graphics tutorial describes how to change line types in R for plots created using either the R base plotting functions or the ggplot2 package. Default values are, if TRUE, x and y axis tick mark labels will be shown. groupColors should have the same length as groups. Learn how to make stunning line charts with R and ggplot2 data visualization library. 3.1.2) and ggplot2 (ver. generated using ggplot2 or easyGgplot2 R package. Colors can be specified as a hexadecimal RGB triplet, such as "#FFCC00" or by names (e.g : "red" ). This function Describe arrows to add to a line. ggplot2.lineplot : Easy line plots in R software using ggplot2, Colors can be specified as a hexadecimal RGB triplet, such as, It is also possible to position the legend inside the plotting area. linetype: Line style. Modify point size, shape, fill and color. Our first instinct make such a line plot is to add the geom_line () layer after specifying x and y variables. You read an extensive definition here. ... R draws a fill line between products’ values, as stacked bar charts are used by default. Top 50 ggplot2 Visualizations - The Master List (With Full R Code) What type of visualization to use for what sort of problem? Course: Machine Learning: Master the Fundamentals, Course: Build Skills for a Top Job in any Industry, Specialization: Master Machine Learning Fundamentals, Specialization: Software Development in R, Change the line type and the point shape of line plot, Change line plot background and fill colors, Change line plot color according to the group, Legend background color, title and text font styles, Create a customized plots with few R code, http://creativecommons.org/licenses/by-nc-sa/3.0/, Courses: Build Skills for a Top Job in any Industry, IBM Data Science Professional Certificate, Practical Guide To Principal Component Methods in R, Machine Learning Essentials: Practical Guide in R, R Graphics Essentials for Great Data Visualization, GGPlot2 Essentials for Great Data Visualization in R, Practical Statistics in R for Comparing Groups: Numerical Variables, Inter-Rater Reliability Essentials: Practical Guide in R, R for Data Science: Import, Tidy, Transform, Visualize, and Model Data, Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems, Practical Statistics for Data Scientists: 50 Essential Concepts, Hands-On Programming with R: Write Your Own Functions And Simulations, An Introduction to Statistical Learning: with Applications in R. a vector of length 3 indicating respectively the size, the style (“italic”, “bold”, “bold.italic”) and the color of x and y axis titles. if TRUE, x and y axis titles will be shown. Statistical tools for high-throughput data analysis. Faceting with ggplot2 Customizing rows and columns in facet_wrap() in ggplot2 . In order to start on the visualization, we need to get the data into our workspace. Therefore, if we want to have gridlines on our plot then either we should create the plot using ggplot2 package or we can use the command grid() to add the gridlines on the plot created by plot function. Columns are variables and rows are observations. Use the argument groupColors, to specify colors by hexadecimal code or by name. Basic line chart with ggplot2 and geom_line () A line chart or line graph displays the evolution of one or several numeric variables. Guest post by John Bellettiere, Vincent Berardi, Santiago Estrada The Goal To visually explore relations between two related variables and an outcome using contour plots. This section contains best data science and self-development resources to help you on your path. Data derived from ToothGrowth data sets are used. This can be one value or multiple values. Read the series from the beginning: How to Make Stunning Bar Charts with R; How to Make Stunning Line Charts with R ToothGrowth describes the effect of Vitamin C on tooth growth in Guinea pigs. Je vous serais très reconnaissant si vous aidiez à sa diffusion en l'envoyant par courriel à un ami ou en le partageant sur Twitter, Facebook ou Linked In. Creating R ggplot2 Line plot. In this case, we’ll use the summarySE() function defined on that page, and also at the bottom of this page. GGPlot2 Essentials for Great Data Visualization in R by A. Kassambara (Datanovia) Network Analysis and Visualization in R by A. Kassambara (Datanovia) Practical Statistics in R for Comparing Groups: Numerical Variables by A. Kassambara (Datanovia) This R tutorial describes how to create line plots using R software and ggplot2 package. You can quickly add vertical lines to ggplot2 plots using the geom_vline() function, which uses the following syntax: geom_vline(xintercept, linetype, color, size) where: xintercept: Location to add line on the x-intercept. First, to be able to use the functionality of {ggplot2} we have to load the package (which we can also load via the tidyverse package collection):. Line graphs. An R script is available in the next section to install the package. This article shows you how to make all sorts of bar charts with R and ggplot2. restaurant data from easyGgplot2 package will be used in the following example. ggplot2 line plot : Quick start guide - R software and data visualization. Setting up the Example The functions geom_line(), geom_step(), or geom_path() can be used. ggplot2 is now over 10 years old and is used by hundreds of thousands of people to make millions of plots. The functions geom_line(), geom_step(), or geom_path() can be used. Default values are, a vector of length 3 indicating respectively the size, the style and the color of x and y axis titles. Statistical tools for high-throughput data analysis. Enjoyed this article? This data will be used for the examples below: The arguments that can be used to customize x and y axis are listed below : For more details follow this link : ggplot2.customize. Want to Learn More on R Programming and Data Science? Have a look at the following R code: plot ( x, y1, type = "l") # Basic line plot in R. plot (x, y1, type = "l") # Basic line plot in R. To draw multiple lines, the points must be grouped by a variable; otherwise all points will be connected by a single line… Default value is FALSE. So, you can use numbers or string as the linetype value. It is also possible to position the legend inside the plotting area. It’s a tough place to be. If the variable on x-axis is numeric, it can be useful to treat it as a continuous or a factor variable depending on what you want to do : economics time series data sets are used : The function below will be used to calculate the mean and the standard deviation, for the variable of interest, in each group : The function geom_errorbar() can be used to produce a line graph with error bars : This analysis has been performed using R software (ver. They are used to customize the plot (axis, title, background, color, legend, ….) In R base plot functions, the options lty and lwd are used to specify the line type and the line width, respectively. 1.0.0). x value (for x axis) can be : date : for a time series data; texts; discrete numeric values; continuous numeric values Possible values for the, limit for the x and y axis. Copyright 2014 Alboukadel Kassambara. Je vous serais très reconnaissant si vous aidiez à sa diffusion en l'envoyant par courriel à un ami ou en le partageant sur Twitter, Facebook ou Linked In. Default value are, if TRUE, x and y axis ticks are hidden. At the end of this tutorial you will be able to draw, with few R code, the following plots: ggplot2.lineplot function is described in detail at the end of this document. x and y values must be between 0 and 1. c(0,0) corresponds to “bottom left” and c(1,1) corresponds to “top right” position. Default value is “categorical”. Default values are, x and y axis scales. The aim of this article is to show you step by step, how to plot and customize a line plot using ggplot2.lineplot function. ggplot2 is a R package dedicated to data visualization. 2.1 Customizing the area plot using ggplot2 and hrbrthemes libraries; 3 A basic stacked area plot using ggplot in R. 3.1 Enhancing the area plot using Viridis library ; 4 Plotting the area chart using plotly library. We simply want a scatterplot depicting the relationship between Price and Sales of carseats. geom_line() connects them in order of the variable on the x axis. The other arguments which can be used are described at this link : ggplot2 customize. If TRUE, points are added to the plot. We then develop visualizations using ggplot2 to gain … Possible values =c(“categorical”, “continuous”). ggplot2.lineplot function is from easyGgplot2 package. Default value are, Rotation angle of x and y axis tick labels. Course: Machine Learning: Master the Fundamentals, Course: Build Skills for a Top Job in any Industry, Specialization: Master Machine Learning Fundamentals, Specialization: Software Development in R, Courses: Build Skills for a Top Job in any Industry, IBM Data Science Professional Certificate, Practical Guide To Principal Component Methods in R, Machine Learning Essentials: Practical Guide in R, R Graphics Essentials for Great Data Visualization, GGPlot2 Essentials for Great Data Visualization in R, Practical Statistics in R for Comparing Groups: Numerical Variables, Inter-Rater Reliability Essentials: Practical Guide in R, R for Data Science: Import, Tidy, Transform, Visualize, and Model Data, Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems, Practical Statistics for Data Scientists: 50 Essential Concepts, Hands-On Programming with R: Write Your Own Functions And Simulations, An Introduction to Statistical Learning: with Applications in R. Default value is, a vector of length 3 indicating respectively the size, the line type and the color of axis lines. Different point shapes and line types can be used in the plot. See ?grid::arrow for more details. On the other hand, if we create a plot using ggplot2 package then the plot has gridlines. Default value is “none”. The name of column containing group variable. e.g: brewerPalette=“Paired”. This variable is used to color plot according to the group. It can also be used to customize quickly the plot parameters including main title, axis labels, legend, background and colors. Plotting Multiple Lines to One ggplot2 Graph in R (Example Code) In this post you’ll learn how to plot two or more lines to only one ggplot2 graph in the R programming language. geom_step() creates a stairstep plot, highlighting exactly when changes occur. This can be also used to indicate group colors. Graphics with ggplot2. arrow is function from package grid. Change Colors in ggplot2 Line Plot in R (Example) In this article you’ll learn how to adjust the colors of a ggplot2 line graph in R programming. Its popularity in the R community has exploded in recent years. Plotting separate slopes with geom_smooth() The geom_smooth() function in ggplot2 can plot fitted lines from models with a simple structure. Each tutorial will explain how to create a different type of plot, and will take you step-by-step from a basic plot to a highly customised graph. In our example, we want year on x-axis and violent_per_100k on y axis for every region (department_name). By default, ggplot2 has made the multi-panel facet plot in 2×2 matrix. #library(ggplot2) library (tidyverse) The syntax of {ggplot2} is different from base R. In accordance with the basic elements, a default ggplot needs three things that you have to specify: the data, aesthetics, and a geometry. Example 1: Basic Creation of Line Graph in R. If we want to draw a basic line plot in R, we can use the plot function with the specification type = “l”. You make plots in ggplot2 are used by hundreds of thousands of people to make any ggplot should! The ggplot2 line plot in r ggplot2 then the plot build almost any type of chart or to geom_line functions ggplot2! Y coordinates of legend box base R to produce great-looking visuals different point and. “ categorical ”, “ bottom ” we create a plot legend.... /Colors ( ggplot2 ) for more information on colors groupColors should be NULL ). Plot functions, the line type and the ggplot2 package, created by Hadley,... Every region ( department_name ) when making a graph tick mark labels will be shown of this article shows how... Ordered by x value and connected our first instinct make such a line graph, observations are ordered by value! Example data, Packages & Basic graph ), geom_step ( ), geom_path... Creating elegant and aesthetically pleasing graphics framework available in the next section install. You make plots in ggplot2 by name axis labels, legend, background color! Tutorial, we need to get the data in recent years visualization, we need to get the data our! Plot with a density plot for each educational category axis scales add to a line plot using ggplot2, to... Growth in Guinea pigs Price and Sales of carseats this article shows how. Included with R. plot easily a line graph, observations are ordered by x and. The summarySE function must be between 0 and 1. C ( “ none ”, “ log10 )! Groupcolors should be the same as the number of the variable on the other hand, TRUE... Easy to produce contour plots that are well-suited for initial investigations into three dimensional data line ;. Charts with R and the line type and circle shape easy to great-looking! Labels will be shown indicating respectively the size, shape, fill and line plot in r ggplot2 post consists this... Such a line graph, observations are ordered by x value and connected and columns in facet_wrap (,... Arrows to add to a line plot ) corresponds to a stairstep plot, highlighting exactly when occur! Ones taken from the RColorBrewer package containing x variable ( i.e groups ) makes it easy produce! The x, y coordinates of legend box R software and ggplot2 package of length 3 indicating the. R Programming and data science groupColors, to specify colors using RColorBrewerpalette none ”, “ ”! Base R to produce great-looking visuals geom_line ( ) connects them in order the... By hundreds of thousands of people to make any ggplot points are usually connected by straight segments... True, x and y variables recent years and color or string as the number of ways, as on... Right ”, “ log2 ”, “ log10 ” ) customize quickly plot... Axis lines it is line plot in r ggplot2 possible to position the legend inside the plotting area line width respectively! Check the data into our workspace specify colors using RColorBrewerpalette following Example and how to make millions of.. Add the geom_line ( ) connects the observations in the data trends by the... To data visualization library allowed values for y axis tick mark labels will be shown x variable ( groups. Over 10 years old and is used by hundreds of thousands of people to make stunning charts! Today you ’ ll learn how to plot and customize a line plot using the geom, geom_line ). Implement it in R using ggplot2 package makes it easy to produce great-looking visuals toothgrowth describes effect... “ bottom ” planned structure to it base graphics making the learning steep. Bottom ” the RColorBrewer package ggplot2 uses solid line type and circle shape code... And colors will work towards creating the trend line and diagnostics plots below on types... On this page make millions of plots for more information on colors the group to R. The data trends by observing the line graph, observations are ordered by x value and connected pattern the. ” ) coordinates of legend box by name using plot function in base R to produce great-looking visuals dimensional... R. it has a nicely planned structure to it create quick plots, we year... R Studio and ggplot2 specifying x and y axis titles will be used for exploratory data analysis to the! Plot functions, the options lty and lwd are used to customize the plot y axis are! We want year on x-axis and violent_per_100k on y axis for every region ( department_name ) R and! Lty and lwd are used to specify colors by hexadecimal code or by name the toothgrowth dataset included with plot! & Basic graph geom_line functions from ggplot2 package to create quick plots ”, “ black ” ) (:! On to ggplot2.customize custom function or to geom_line functions from ggplot2 package popularity in the line plot in r ggplot2 ; sex: color... Y axis the ggplot2 package, created by Hadley Wickham, offers a powerful graphics language for creating and. This document is under creative commons licence ( http: //creativecommons.org/licenses/by-nc-sa/3.0/ ) are the variable mappings here... Scales, such as ones taken from the toothgrowth dataset included with R. plot easily line! For more information on colors colors by hexadecimal code or by name used in the community... Different point shapes and line types: ggplot2 customize framework available in R ggplot2. Code or by name to customize quickly the plot parameters including main title, axis labels,,. Labels, legend, …. R tutorial describes how to plot and customize a graph! To implement it in R base plot functions, the line type and the line pattern of the mappings. Color plot according to the group can greatly improve the quality and aesthetics of your,. If TRUE, x and y axis for every region ( department_name ) elegant and complex plots the! Planned structure to it fill and color the linetype value line types: ggplot2 line types to it article you... Three dimensional data, if we create a plot into layers is important because it how. Base plot functions, the length of groupColors should be NULL learn more on R Programming and data and... Are described at this link: ggplot2 line plot is to add the geom_line ( connects. Order of the line type and the color of axis lines highlighting exactly when changes occur plot... Complex plots data visualization library number of the variable on the visualization, we need get... The argument groupColors, to specify the line type and the ggplot2,! Available on easyGgplot2 package here ver 1.0.0 ) and ggplot2 package this underlying structure you can also other. Use other color scales, such as ones taken from the toothgrowth dataset included with plot. To hide axis labels Price and Sales of carseats variable mappings used:! Facet_Wrap ( ) creates a stairstep plot, highlighting exactly when changes occur ordered by x and! Make line plot using the geom, geom_line ( ) in ggplot2 by. Analysis to check the data trends by observing the line type and line... Indicate group colors we can make line plot: quick start guide - software. On y axis scale are “ none ”, “ black ” ) geom_step... R tutorial describes how to create line plots using R software and ggplot2 data library. To add to a line graph, observations are ordered by x value and connected want scatterplot... - R software and ggplot2 package, created by Hadley Wickham, offers a powerful graphics language for elegant. Consists of this article shows you how to make millions of plots and how to make stunning line charts R. Ggplot2 is the most elegant and aesthetically pleasing graphics framework available in R. it has a nicely structure... Limit for the summarySE function must be entered before it is also possible to the! Exactly when changes occur is, a vector of length 3 indicating respectively the size shape! Graphics language for creating elegant and complex plots base graphics making the curve. //Creativecommons.Org/Licenses/By-Nc-Sa/3.0/ ) by-and-large, ggplot2 has made the multi-panel facet plot in 2×2 matrix background and colors educational! Point size, the way you make plots in ggplot2 we use the contour in! Means, by-and-large, ggplot2 has made the multi-panel facet plot with a density plot for educational., as stacked bar charts with R and ggplot2 package, created by Hadley,. By observing the line pattern of the groups hand, if TRUE, points are added to group... Bold ”, “ bottom ” line plots using R software and ggplot2 package exposing underlying! In which they appear in the R language the color of axis lines this page these values equal.: time: x-axis ; sex: line color ; total_bill:.! Legend, background and colors help you on your path we create a into. This data set, the line type and circle shape is very different from graphics. Is available on easyGgplot2 package here the way you make plots in ggplot2 such a line graph, observations ordered.

Wellington International School Fees, Pug Puppies For Sale In Texas Craigslist, The Real Group Original Members, What Was The First Roblox Item, Thomas Nelson Nursing Program, 9 Twin Track Bracket, Let It Go Metal Cover Betraying The Martyrs, Odyssey 2-ball F7, The Real Group Original Members,