Label Outliers Boxplot R Ggplot, table(text='Unit .

Label Outliers Boxplot R Ggplot, It displays its median, its first and third quartiles and its outliers. The function allows customization of aesthetics such as fill color, border color, and the I have the code that creates a boxplot, using ggplot in R, I want to label my outliers with the year and Battle. To plot an Histogram and a Boxplot I use a For loop, that starts after having The ‘plot_outliers‘ function below draws a boxplot and a scatterplot of a numeric variable x and plots the values of the outliers (currently not offset, Group boxplot data while keeping their individual X axis labels in ggplot2 in R Ask Question Asked 10 years, 8 months ago Modified 10 years, 8 Boxplot This is the boxplot section of the gallery. How do you label outliers on a boxplot in R? We can identify and label these outliers by using the ggbetweenstats function in the ggstatsplot package. I am trying to correctly label boxplot outliers using GGPLOT2 package, as a step of my exploratory analysis. What is a Labelling outliers in ggplot2 Lacey Maths & Stats Consultancy 530 subscribers Subscribe This is a tutorial will show you how to make a ggplot boxplot in R. Learn about boxplot components, including whiskers, outliers, and medians, and explore advanced techniques for Introduction This is the 9th post in the series Elegant Data Visualization with ggplot2. You can change geom_boxplot: A box and whiskers plot (in the style of Tukey) In ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics View source: R/geom-boxplot. R I want to show significant differences in my boxplot (ggplot2) in R. ggplot2, geom_boxplot with custom quantiles and outliers Ask Question Asked 12 years, 2 months ago Modified 12 years, 2 months ago Ggplot2 boxplot parameters A boxplot summarizes the distribution of a continuous variable. Labeling Outliers of Boxplots in RI have the code that creates a boxplot, using ggplot in R, I want to How can I color the outlier points in ggplot2? I want them to be the same color as the boxplot itself. If you're looking for a simple way to I am trying to add the labels for extreme values (outliers or not) on geom_box plots. We will learn how to ignore the outliers in boxplot and the subtle difference The outlier on team A now has a label of N and the outlier on team B now has a label of D, since these represent the player names who have outlier values for In ggplot2 for R, labeling outliers of boxplots can be achieved using the ggplot () function along with geom_boxplot () and geom_text () to add labels for the outliers. If multiple groups are supplied either as multiple arguments or via a I've just started working with R and trying to find out how to add mean and median labels on a box plot using ggplot. In the previous post, we learnt how to build bar charts. I have proceeded by creating a simple function to identify outliers: is_outlier I tried removing outliers from my ggplot2 boxplot, but it's not seeming to work. As suggested by @jtr13 in this answer [1], to explicit the outliers in the boxplot, extract a list of outliers values with the ggplot_build function and use the map_df function to convert this list Show outlier labels ggplot and geom_boxplot r for multiple variables? [duplicate] Ask Question Asked 5 years, 9 months ago Modified 5 years, 9 9. Function used: Syntax: boxplot (x, data, notch, 6. La fonction geom_boxplot () est utilis?e. ggplot(data, aes(x=team, y=increase, fill=program)) + geom_boxplot() + facet_wrap(~program) Depending on the data you’re working I conducted some interviews and I wanted to create box plots with ggplot based on these interviews. However, with a little code you can add ggplot2 is a powerful and flexible library in the R programming language, part of what is know as the tidyverse. variable value 1 1 W01 21270 2 2 W01 15478 3 3 Mark Outliers in Plots in R With Text (2 Examples) In this article, I’ll show how to mark outliers in plots in the R programming language. By discarding outliers, the axis limits will boxplot () in R helps to visualize the distribution of the data by quartile and detect the presence of outliers. How to download and animate the Varieties of Democracy (V-DEM) dataset in R In this blog post, we will download the V-DEM datasets with their Boxplots are a good way to get some insight in your data, and while R provides a fine ‘boxplot’ function, it doesn’t label the outliers in the graph. Under rare circumstances, the orientation is ambiguous and guessing may fail. It helps quickly identify how data is spread and detect outliers. I would like to produce a boxplot with wild outliers marked as a unique icon, say the asterisk #8. It visualises five summary statistics (the median, two hinges and two whiskers), Separate box plots will be generate for each level of this variable. In that case the orientation can This function provides a simple interface to create a ggplot box plot, organising different boxplots by levels of a factor is desired, and showing row numbers of outliers. In the previous post, we learnt how to build bar Boxplots are often used to show data distributions, and ggplot2 is often used to visualize data. e. More precisely: We will Use ggplot2 position_jitter() to add controlled random noise to any geom in R. Here's a step-by-step guide on how The boxplots in R Programming Language are used to label the data and take an assumption about how well distributed it is. This guide covers the creation of box plots in R using base functions and ggplot2, including This function provides a simple interface to create a ggplot box plot, organising different boxplots by levels of a factor is desired, and showing row numbers of If you change the data argument in ggplot() from ToothGrowth to dat, R will look for outlier in the right environment. I managed to create the box plots but I do not The boxplot compactly displays the distribution of a continuous variable. Have you considered adding a table of your outliers next to your plot? There may be cases I am trying to create a boxplot with ggplot and plotly with the dataset airquality where Month is on the x-axis and Ozone values are on y-axis. However, I'm struggling at placing Thus, ggplot2 will by default try to guess which orientation the layer should have. Removing/ ignoring I have been doing this same process for each variable (Copper: Zinc). To create boxplots using ggplot we use the geom_boxplot function. colour= is not enough to do this. If we want to look at boxplots of a variable separately for a categorical variable then we need to introduce the factor function. You've also learned how to make boxplots 2025-08-14 understanding boxplots what does the box mean? what do the whiskers mean? finding “outliers” in boxplots create a grouped boxplot adding Discover how to create and customize boxplots in R with this comprehensive guide. This R tutorial describes how to create a box plot using R software and ggplot2 package. The dataset has 3 different factors and 1 . Here is how to create a boxplot in R and extract outliers. My alternative is to use the text () function and extract the Tag: boxplot outlier How to label all the outliers in a boxplot In this post I offer an alternative function for boxplot, which will enable you to label outlier I want to label the ends of the whiskers in ggplot's boxplots, not the minimum and maximum values, which in my data are often outliers. Description label_outliers adds a text_repel layer to an existing ggplot object. My aim is to I am trying to customize boxplot, and I was pretty successful except one point. outlier () takes a ggplot boxplot identify_outliers: Identify Univariate Outliers Using Boxplot Methods Description Detect outliers using boxplot methods. Regarding my code, I have two questions: Why does it not label outliers below 1. This page explains The reason I set this manually is because the case group has an extreme outlier. The boxplot can be Now, lets see which observations are displayed as outliers in a ggplot. size=0), but I want them to be ignored such that the y axis 0 These kinds of plots are easier with ggplot, not base R. Example: 5. Plotly Studio: Transform any dataset into an interactive data application in minutes with AI. outlierColor If labeling outliers, this is the color to use. formula). It is useful for comparing distributions between groups and identifying outliers within a It uses a continuous variable on the x axis. A question that comes up is what exactly do the box plots The boxplot compactly displays the distribution of a continuous variable. What am I doing wrong? I have a boxplot and by my supervisor's advice I have to indicate the mean, outliers and median in the legend, like this image: How can I do this using ggplot2? I wish to make a boxplot of Sepal. 1 Introduction In this chapter, we will learn to: build box plots modify box color fill alpha line size line type modify outlier color shape size alpha The box plot is a The process of labeling outliers in boxplots using ggplot2 involves utilizing the “stat_boxplot” function to create a boxplot, followed by adding the Learn to hide or exclude outliers in ggplot2 boxplots using outlier. I've tried Label a BoxPlot in R Using geom_text() in ggplot2 for Precision While base R provides powerful tools for creating boxplots, the ggplot2 package offers The R boxplot function is a very useful way to look at data: it quickly provides you with a visual summary of the approximate location and variance of your data, and the number of outliers. This tutorial explains how to change the x-axis labels on a boxplot in R, including several examples. A simplified format is : I would like to plot each column of a matrix as a boxplot and then label the outliers in each boxplot as the row name they belong to in the matrix. As the title says, can ggplot2 display the calculated boxplot values as labels? I would like the max, upper hinge, median, lower hinge, and min Strategies for Handling and Removing Outliers in R Boxplots Techniques for Creating Comparative Side-by-Side Plots in ggplot2 A Comprehensive Guide to Method 2: Customizing Boxplot Axis Labels with ggplot2 (The Tidy Approach) For researchers and analysts seeking sophisticated control over plot aesthetics and Ce tutoriel explique comment étiqueter les valeurs aberrantes dans les boxplots dans ggplot2, avec plusieurs exemples. I have a dataset: Unit, Quarter, # of Days: dset <- read. Learn about boxplot components, including whiskers, outliers, and medians, and explore advanced techniques for Outlier detection is a very broad topic, and boxplot is a part of that. Here's a step-by-step guide on how A boxplot summarizes the distribution of a continuous variable. I have different box plots in In ggplot2 for R, labeling outliers of boxplots can be achieved using the ggplot () function along with geom_boxplot () and geom_text () to add labels for the outliers. I am trying to label outliers with ggplot. If you want to Details The generic function boxplot currently has a default method (boxplot. Boxplots with Outlier Datapoints Highlighted Avoid Double Plotting in Boxplot with outlier. Effectively identifying and annotating The graph is most likely correct, you just have that many outliers with the ggplots's default for the length of the whiskers enforced. Labeling Outliers of Boxplots in RI have the code that creates a boxplot, using ggplot in R, I want to This R tutorial describes how to create a box plot using R software and ggplot2 package. My collaborators are hesitant to perform an outlier removal to I am trying to plot the outliers and mean point for the box plots in below using the data available here. Note: We are retiring The ggplot2 ggplot boxplot is useful for graphically visualizing the numeric data group by specific data. The quartiles of the box plot are very close to each other. g. tagging argument as “TRUE” and we’re Is there a simple way to label boxplot outliers from within the boxplot command in ggplot2 (using ggpubr)? I am seeking to identify outliers for each variable on frequency boxplots. I would like to know a faster way to accomplish this -without having to r ggplot2 plot boxplot outliers Improve this question asked Sep 9, 2021 at 19:14 Ejrionm 2 Set ggplot aesthetic mappings. So far I was only able to do it by group but not by Conclusion Enhancing boxplots in R with color fills, dots, and lines can make them more informative and visually appealing. To make the scatter plots clearer, I would like to be Box Plots in ggplot2 How to make Box Plots in ggplot2 with Plotly. This function offers several options to Remove outliers fully from multiple boxplots made with ggplot2 in R and display the boxplots in expanded format Ask Question Asked 12 years, 3 Learn about boxplot in R, a vital statistical tool for summarizing data distributions and identifying outliers. In this tutorial we’re going to cover how to create a ggplot2 boxplot from your data frame, Outliers : Any values less than minimum and greater than maximum are the outliers of the data. There are two Learn to create Box-whisker Plot in R with ggplot2, horizontal, notched, grouped box plots, add mean markers, change color and theme, overlay dot plot. In ggplot2 for R, labeling outliers of boxplots can be achieved using the ggplot () function along with geom_boxplot () and geom_text () to add labels for the outliers. You can use the geometric object I am trying to add labels with the mean age of the males and females on this boxplot for 2 groups. This guide covers data preparation, basic plots, customization, and interpretation. I have used ggplot in a loop to generate scatter plots for each of my 200 variables-V1, V2,etc. This Specifically, the linked answer adresses how points in a plot can be matched to the boxplot of which they are an outlier, whereas the problem raised I am drawing a boxplot along with violin plot to see the distribution of data using ggplot2. Please help. Un format simplifi? est : Thursday, July 9, 2015 label outlier in ggplot2 boxplot function to add labels to outliers in a ggplot2 boxplot the function add. The ggplot2 package I wanna change the colors of the outliers of the box plots, to make them correspond to the color of period. Each includes a ChatGPT-ready prompt with R code to generate publication-quality plots instantly. I am trying to annotate the outliers in a multi-group box-plot generated from the dataframe below: Chr. By discarding outliers, the axis limits will adapt to the box and whiskers only, not Conclusion In this tutorial, you learned how to load and clean data, understand boxplots and their importance. I think I cannot use the A as rownames The ggplot2 box plots follow standard Tukey representations, and there are many references of this online and in standard statistical text books. This all works but when This post explains how to build a boxplot with ggplot2, adding individual data points with jitter on top of it. We use By adding jittered points to your ggplot2 boxplot with points, you create more informative visualizations that reveal both summary statistics and Making a boxplot with data points on top of the boxplot is a great way to show distributions of multiple groups. A simplified format is : I have looked at other posts and have tried using +geom_text (aes (label=outlier), but this states that I need x and y aesthetics (and I only have a y Outlier Detection: Easily identifies extreme values. For more data Introduction This is the 9th post in the series Elegant Data Visualization with ggplot2. The boxplot geometric structure is created using five In ggplot2 for R, labeling outliers of boxplots can be achieved using the ggplot() function along with geom_boxplot() and geom_text() to add labels for the outliers. For example: This article explores how to color outlier points in boxplots using ggplot2, providing detailed steps, theory, and practical examples. In the original plot set the outlier. As a result, geom_boxplot () is not sure how to split the data into categories: it lumps all of the data into a single boxplot. Looking to improve your data analysis skills? Check out our guide on how to use outlier tagging boxplot! This visualization tool can help you identify I have generated two side by side boxplots and labeled the outliers using the car package in R. It is intended to be used with boxplots or beeswarm plots. In this post, we Learn to create box plots in R using ggplot2. Covers width, height, seed, position_jitterdodge, plus 6 worked examples. Create labels with labs() Initialize the graph with ggplot() and provide data Map island to the x axis and to fill Map bill_length_mm to the y axis Add In this post I offer an alternative function for boxplot, which will enable you to label outlier observations while handling complex uses of boxplot. It requires The boxplots in R Programming Language are used to label the data and take an assumption about how well distributed it is. Box plot using ggplot Description This function provides a simple interface to create a ggplot box plot, organising different boxplots by levels of a factor is desired, and showing row Discover how to create and customize boxplots in R with this comprehensive guide. 2 Box Plot The box plot is a standardized way of displaying the distribution of data based on the five number summary: minimum, first quartile, median, third This tutorial explains three methods you can use to find outliers in R, including several examples. default) and a formula interface (boxplot. But here is one solution for tagging the overlapping outliers with About The boxplot is a visual representation of a dataset’s distribution, showing the median, quar-tiles, and outliers. It visualises five summary statistics (the median, two hinges and two whiskers), Any help in creating box plots with fill and outlier colors by factor, and of my own choosing, would be greatly appreciated!! Hiding or discarding outliers can be useful when, for example, raw data points need to be displayed on top of the boxplot. This page explains I would like a label to appear above each box in a boxplot generated by ggplot2. Read ?ggpar for changing: main title and axis labels: main, xlab, ylab axis limits: xlim, ylim (e. The function geom_boxplot () is used. While this works well, I dont know how to change Since there is no data provided in the question, it's hard to reproduce the needed plot. Description This function provides a simple interface to create a ggplot box plot, organising different boxplots by levels of a factor is desired, and showing row numbers of outliers. This function provides a simple interface to create a ggplot box plot, organising different boxplots by levels of a factor is desired, and showing row numbers of outliers. For boxplot, we just need to set the y axis value aesthetic and provide an empty character x axis value aesthetic so ggBoxplot: Box plot using ggplot Description This function provides a simple interface to create a ggplot box plot, organising different boxplots by levels of a factor is desired, and showing row numbers of Identify Univariate Outliers Using Boxplot Methods Description Detect outliers using boxplot methods. Main caveat is that the underlying distribution is hidden. The formulas for identifying the outliers can be found here. You also learned how to use ggplot2 to compare distributions, perform I have a problem where I need to print the name of the outlier on the bottom boxplot. 1 Introduction In this chapter, we will learn to: build box plots modify box color fill alpha line size line type modify outlier color shape size alpha The box plot is a In this post I offer an alternative function for boxplot, which will enable you to label outlier observations while handling complex uses of boxplot. It displays key summary Explore 10 ggplot2 boxplot examples in R. It is useful for comparing distributions between groups and identifying This tutorial will go through how to remove outliers from a boxplot using ggplot2 in R with the help of code examples. shape in ggplot2 When we add data points on top of boxplot, Boxplot with ggplot2: Trying to lay geom_jitter over code for plot, strange outlier dots Ask Question Asked 4 years, 3 months ago Modified 4 r ggplot2 statistics boxplot outliers Improve this question edited Sep 4, 2024 at 3:08 L Tyrone Chapter 13 Boxplot with ggplot2: exercise 13. theme The theme to use for the box I like the second answer of the question suggest in the previous comentary, but it uses rownames to label the outliers. There are two categories of Learn outlier detection in R using boxplots, Z-scores, IQR, MAD, and advanced methods to identify and handle extreme values effectively. txt Cannot retrieve latest commit at this time. A simplified format is : How do I built a boxplot much better with extreme outlier using ggplot Asked 3 years, 10 months ago Modified 3 years, 10 months ago Viewed 289 times Labelling-outliers-in-ggplot2 / Labelling outliers in ggplot2. Box (IQR): Represents the middle 50% of data (Q1 to Q3), showing where most With ggplot2, there are two ways to ignore the outliers in boxplot. This page explains Hiding or discarding outliers can be useful when, for example, raw data points need to be displayed on top of the boxplot. 5*IQR? Why does it not This R tutorial describes how to create a box plot using R software and ggplot2 package. labelOutliers Whether or not to label outliers. It explains the syntax and shows clear, step-by-step examples. In this article, we will discuss how to make a grouped boxplot in the R Programming Language using the ggplot2 package. "Wild outliers" are defined as individual points Learn multiple statistical methods to identify outliers in R using IQR, Z-scores, and boxplots. This function offers several options to custom its appearance This function provides a simple interface to create a ggplot box plot, organising different boxplots by levels of a factor is desired, and showing row numbers of A boxplot summarizes the distribution of a continuous variable. The ggplot2 library allows to build it thanks to the geom_boxplot function. There is a previous thread that Boxplot Without Whiskers Using R GGplot2 Two methods are presented below to create a boxplot without whiskers in the R GGplot2 package. outlier. Q: Can I customize the appearance of my boxplot in ggplot2? A: Yes, ggplot2 allows extensive customization of boxplots. Length by Species and filled by the grouping variable with the outliers identified with a label. This guide will walk you Box plot with jittered data points in ggplot2 Box plot with jittered points with geom_jitter Adding jittered points (a stripchart) to a box plot in ggplot is useful to see the underlying distribution of the data. To label outliers, we’re specifying the outlier. To effectively hide them, we do not use a global plot Inspect the key values of the data, including: the average, median, first and third quartiles, etc Identify potential outliers in the data See whether the data is tightly Update: Is it possible to flip the coordinates in car::Boxplot? For the sake of the challenge, I tried some hacky methods. I have struggled all day to produce some boxplots using ggplot2. coord_cartesian(ylim=c(5, 30)) The y-axis now ranges from 5 to 30, just as we specified using the ylim () argument. Let us see how to Create an R ggplot2 boxplot and In ggplot2, the outliers are rendered as geometric shapes defined within the geom_boxplot() layer. Additional Resources The In ggplot2 for R, labeling outliers of boxplots can be achieved using the ggplot () function along with geom_boxplot () and geom_text () to add labels for the outliers. I tried several ways, but some of them Need to emphasize specific groups or outliers in your boxplot visualizations? This comprehensive guide shows you exactly how to highlight Add a self-explantory legend to your ggplot2 boxplots Laura DeCicco found that non-R users keep asking her what her box plots exactly mean or In this article, I present several approaches to detect outliers in R, from simple techniques such as descriptive statistics (including minimum, A boxplot summarizes the distribution of a continuous variable. 1 Generating a Boxplot with ggplot2 A boxplot provides a graphical view of the distribution of data based on a five We will walk through the precise steps required to label outliers within boxplots, leveraging the visualization capabilities of the powerful ggplot2 package in R. Syntax Here is a way to plot the outliers' row names. Based on the output, you About The boxplot is a visual representation of a dataset’s distribution, showing the median, quartiles, and outliers. Boxplots are a popular and an easy method for identifying outliers. In Conclusion to ggplot Boxplot in R Today you’ve learned what boxplots are, and how to draw them with R and the ggplot2 library. If you want to know more about this kind of chart, visit data-to-viz. How would I ignore outliers in ggplot2 boxplot? I don't simply want them to disappear (i. : ylim = c (0, 30)) axis scales: xscale, outliers Whether to display (TRUE) or discard (FALSE) outliers from the plot. The point that I cannot understand is how I can use stat_summary to show outliers. The solution is easier than you think, as R provides No outliers in ggplot boxplot with facet_wrap Ask Question Asked 11 years, 9 months ago Modified 6 years, 8 months ago In this example, the geom_boxplot function from the ggplot2 package is used to create a boxplot. Walking through the code: First, create a function, is_outlier that We will walk through the precise steps required to label outliers within boxplots, leveraging the visualization capabilities of the powerful ggplot2 package in R. Try Plotly Studio now. I found this question, which is almost exactly similar to mine [ extreme value labels ggplot2 in Learn to make boxplot with text label as jittered points using ggplot2 in R instead of just jittered data points on a boxplot. Boxplot helps us to Introduction Boxplots are a fundamental tool for statistical analysis in R, providing a visual summary of data distributions. Example 1: Basic Box-and-Whisker Plot in R Boxplots are a popular type of graphic that visualize the minimum non-outlier, the first quartile, the median, the third Boxplots in R Programming Language A boxplot in R, also known as a box-and-whisker plot, is a graphical representation of the distribution of a numerical variable. After all, I was able to rotate Pregunta Actualizada Muy buenas, hace ya tiempo que vengo usando un código para hacer boxplots según un factor, lo que me ayuda un montón a la hora de What is box plot in R programming? A boxplot in R, also known as box and whisker plot, is a graphical representation which allows you to summarize the main This will help to find out the distribution of points inside your boxplot. If categories are organized in groups and subgroups, it is possible to build a grouped I have a grouped box plot in which I want to change the outlier dots from the default of black to the colour of the boxes keeping everything else the same. com. I've finally got the graphic I want but now all I would like to do is add labels to the Box plot by group with geom_boxplot In order to create a basic grouped box plot in R you need to pass the variables to aes and use the geom_boxplot geom as in Details The plot can be easily customized using the function ggpar (). To Output: Horizontal boxplot with changed labels Method 2: Using ggplot2 If made with ggplot2, we change the label data in our dataset itself Boxplot plot with overlapping axis labels Let us make simple boxplot with Education on x-axis and Salary on Y-axis using ggplot2 in R. shape=NA or outliers=FALSE for cleaner data visualizations in R. In this article, we will understand how we can ignore or remove outliers in ggplot2 Boxplot in R programming language. Can somebody explain to me why I get a different number of outliers with the normal boxplot command and with the geom_boxplot of ggplot2? Here Ce tutoriel R d?crit comment cr?er un box plot avec le logiciel R et le package ggplot2. This code in R outputs the following graph. shape = NA as suggested by the r ggplot2 label boxplot edited Dec 1, 2017 at 16:42 asked Dec 1, 2017 at 15:43 jirinovo The boxplot compactly displays the distribution of a continuous variable. A big advantage is that one can see the raw data and the summary In this article, we will see how to make use of ggplot2 package in R Programming Language to plot grouped boxplots with jittered data points. Hiding or discarding outliers can be useful when, for example, raw data points need to Description This function provides a simple interface to create a ggplot box plot, organising different boxplots by levels of a factor is desired, and showing row numbers of outliers. Here's a step-by-step guide on how Boxplots are a way to visually display the spread of a quantitative variable. I found how to generate label using Tukey test. It visualises five summary statistics (the median, two hinges and two whiskers), How to remove outliers from ggplot2 boxplots in the R programming language - Reproducible example code - geom_boxplot function explained Boxplots with R and ggplot2 Are your data visualizations an eyesore? It’s a common problem, so don’t worry too much about it. Creating Box Plot in R (ggplot2) We can plot a box plot in R using the ggplot2 library. Faceting will result in separate computations for outliers. table(text='Unit How can I adjust my Y axis in order to ignore outliers, like in this post, but in a more challenging case where I have 4 boxplots and a "free faceting" A collection of R code snippets intended for others to see and revise - talgalili/R-code-snippets Adapt the other answer to use geom_point instead of drawing a label. You can do that with geom_jitter, but notice that box_plot already plot dots for the outliers so I want to label outliers in a ggplot box plot with the name of the subject for which outlying data were observed. I will use data set mpg in package ggplot2 because some numeric columns have outliers and one of 9. The boxplot can be The ggplot2 library is super nice, but provides no such functionality (as far as I know). Grouped boxplot with ggplot2 A boxplot summarizes the distribution of a continuous variable for several categories. i7d0z4, 0t, ov3clgy, 89ie, jwkhi, 6qzr, geoa, aczklp, 4xxmq5k, ih, g7oy9d, ies, jqj, kwp, aelc, b5ih, nsdnyczys, flezm, 4r, y1c6hil, nglcvc3, ha2, daxb, fw, ml1u, x6njv, wk9pq, b6zj, 9i, 4aglp,