r - ggplot add percentage labels based on x-axis variables -

-

i've ggplot shows counts of tweets brands label overall percentage. done link: show % instead of counts in charts of categorical variables

# plot ggplot of brands ggplot(data = test, aes(x = brand, fill = brand))  + geom_bar()  + stat_bin(aes(label = sprintf("%.02f %%", ..count../sum(..count..)*100)), geom = 'text', vjust = -0.3)

plot brand

next, plot based on brand , sentiment, labels bars of each brand totalling 100%. however, have difficulty amending code this. able please? also, possible change colours neu blue , pos green? 

# plot ggplot of brands , sentiment ggplot(data = test, aes(x = brand, fill = factor(sentiment)))  + geom_bar(position = 'dodge')  + stat_bin(aes(label = sprintf("%.02f %%", ..count../sum(..count..)*100)), geom = 'text', position = position_dodge(width = 0.9), vjust=-0.3)

plot brand , sentiment

here's dput of 100 rows of data's brand , sentiment column

structure(list(brand = structure(c(3l, 1l, 1l, 1l, 1l, 1l, 1l,  1l, 2l, 1l, 1l, 2l, 3l, 4l, 4l, 1l, 2l, 1l, 2l, 1l, 3l, 3l, 3l,  1l, 1l, 1l, 1l, 1l, 1l, 1l, 1l, 1l, 1l, 1l, 1l, 1l, 1l, 1l, 1l,  1l, 1l, 1l, 1l, 1l, 1l, 2l, 1l, 3l, 5l, 2l, 1l, 2l, 1l, 1l, 2l,  2l, 1l, 4l, 5l, 5l, 1l, 1l, 2l, 3l, 1l, 1l, 4l, 1l, 2l, 1l, 2l,  1l, 1l, 1l, 1l, 2l, 1l, 1l, 1l, 1l, 1l, 1l, 1l, 1l, 2l, 2l, 1l,  1l, 3l, 2l, 2l, 2l, 3l, 3l, 3l, 1l, 1l, 4l, 1l, 1l), .label = c("apple",  "samsung", "sony", "bb", "htc", "nokia", "huawei"), class = "factor"),      sentiment = structure(c(2l, 1l, 3l, 1l, 2l, 3l, 1l, 1l, 3l,      1l, 1l, 2l, 3l, 1l, 1l, 3l, 2l, 1l, 3l, 1l, 3l, 3l, 3l, 2l,      1l, 2l, 1l, 1l, 1l, 1l, 1l, 1l, 2l, 1l, 3l, 2l, 1l, 1l, 2l,      2l, 1l, 1l, 1l, 1l, 2l, 3l, 1l, 3l, 3l, 3l, 3l, 3l, 3l, 1l,      3l, 1l, 1l, 1l, 3l, 3l, 2l, 1l, 1l, 2l, 3l, 3l, 1l, 3l, 2l,      1l, 3l, 1l, 2l, 3l, 3l, 3l, 1l, 1l, 1l, 1l, 1l, 1l, 1l, 1l,      3l, 1l, 3l, 1l, 1l, 3l, 3l, 3l, 3l, 3l, 2l, 1l, 1l, 1l, 1l,      3l), .label = c("neg", "pos", "neu"), class = "factor")), .names = c("brand",  "sentiment"), class = c("data.table", "data.frame"), row.names = c(na,  -100l), .internal.selfref = <pointer: 0x0000000003070788>)

posting hack far far far ggplot2 idiomatic way this, if posts more ggplot2 way this, should accept idiomatic method.

so i'm creating dummy data set include information you've calculated using ..count../sum(..count..)*100 , plotting on top of bar plot using geom_text

temp <- as.data.frame(table(test$brand, test$sentiment)) temp <- merge(temp, as.data.frame(table(test$brand)), = "var1", all.x = t) names(temp) <- c("brand", "sentiment", "freq", "count")  library(ggplot2) ggplot(data = test, aes(x = brand, fill = factor(sentiment))) +    geom_bar(position = 'dodge') +    geom_text(data = temp, aes(x = brand, y = freq, label = sprintf("%.02f %%", freq/count*100)),  position = position_dodge(width = 0.9), vjust=-0.3)

enter image description here

this not same plot because provided subset of data


Comments

Post a Comment

Popular posts from this blog

c++ - OpenCV Error: Assertion failed <scn == 3 ::scn == 4> in unknown function, -

-
i read alot other solution still confused should mine... #include <opencv2/objdetect/objdetect.hpp> #include <opencv2/highgui/highgui.hpp> #include <opencv2/imgproc/imgproc.hpp> #include <iostream> #include <stdio.h> using namespace std; using namespace cv; int main(int argc, const char** argv) { //create cascade classifier object used face detection cascadeclassifier face_cascade; //use haarcascade_frontalface_alt.xml library face_cascade.load("haarcascade_frontalface_alt.xml"); //setup video capture device , link first capture device videocapture capturedevice; capturedevice.open(0); //setup image files used in capture process mat captureframe; mat grayscaleframe; //create window present results namedwindow("outputcapture", 1); //create loop capture , find faces while (true) { //capture new image frame capturedevice >> captureframe; ...
Read more

php - render data via PDO::FETCH_FUNC vs loop -

-
i've been using 2 methods render data. the first one: function name($id,$name){ return '<div id="'.$id.'">'.$name.'</div>'; } echo implode($pdo->query("select id,name user")->fetchall(pdo::fetch_func,'name')); the second one: $users = $pdo->query("select id,name user")->fetchall(pdo::fetch_obj); foreach($users $user){ echo name($user->id,$user->name); } i don't understand how pdo::fetch_func works. tried figure out. however, not well-documented. could please explain fetch mode? , also, 1 performs better? thank you. both methods wrong , have learn how use templates , how separate business logic presentation logic. $users = $pdo->query("select id,name user")->fetchall(pdo::fetch_obj); tpl::assign('users', $users); is code business logic part. then in template <?php foreach $users $row): ?> <div id="<?=$...
Read more

The canvas has been tainted by cross-origin data in chrome only -

-
uncaught securityerror: failed execute 'getimagedata' on 'canvasrenderingcontext2d': canvas has been tainted cross-origin data i getting above error in chrome. code(following) works fine in mozilla. have not corss domain issue. why above error in chrome? var wheel_canvas, wheel_context, can_w, can_h, wheel_grd; var large_radius = 160; var small_radius = 120; var wheel_canvas = document.getelementbyid('wheel_canvas'); var wheel_context = wheel_canvas.getcontext('2d'); var can_w = $(wheel_canvas).width(); var can_h = $(wheel_canvas).height(); var centerx = can_w / 2, centery = can_h / 2; var wheel_grd = null; test('#ff0000'); function test(hex) { $('#clrpicker').css({'left': 210, 'top': 210 }); inverted = hexbw(hex); $('#color_val_show').val(hex); current_color_hex_val_selected = hex; $('#color_val_show').css({'color':inverted,'background':hex}); fillgradient...
Read more