Dashboard

Sticky Name Description
Stacked / Side-by-Side Barplot for Categorical Data
Plots a stacked Barplot in R with two variables (counts).
Stem and Leaf Plot
Creates a stem-and-leaf plot using a column vector.
Sum
Computes the sum of two numbers.
Name Authored by Filename File size Changed Authored on File MIME type
LakeHuron admin dataset-87075.csv 678 bytes May 12, 2017 - 8:46 PM February 26, 2017 - 11:28 AM text/csv
LifeCycleSavings admin dataset-28937.csv 1.42 KB May 12, 2017 - 8:47 PM February 26, 2017 - 11:28 AM text/csv
Loblolly admin dataset-43360.csv 1.03 KB May 12, 2017 - 8:48 PM February 26, 2017 - 11:28 AM text/csv
Nile admin dataset-80970.csv 434 bytes May 12, 2017 - 8:48 PM February 26, 2017 - 11:28 AM text/csv
Orange admin dataset-68434.csv 386 bytes May 12, 2017 - 8:48 PM February 26, 2017 - 11:28 AM text/csv
OrchardSprays admin dataset-66683.csv 735 bytes May 12, 2017 - 8:49 PM February 26, 2017 - 11:28 AM text/csv
PlantGrowth admin dataset-16019.csv 374 bytes May 12, 2017 - 8:49 PM February 26, 2017 - 11:28 AM text/csv
Puromycin admin dataset-38368.csv 470 bytes May 12, 2017 - 8:49 PM February 26, 2017 - 11:28 AM text/csv
Seatbelts admin dataset-75797.csv 8.65 KB May 12, 2017 - 8:50 PM February 26, 2017 - 11:28 AM text/csv
Theoph admin dataset-28272.csv 2.66 KB May 12, 2017 - 8:50 PM February 26, 2017 - 11:28 AM text/csv

Recent Queries

VariableValue
Image
OutputLoading required package: ggplot2
Saving 6.67 x 6.67 in image
RX <- read.table("https://quadstat.com/system/files/datasets/admin/dataset-41414.csv", sep=",", header = TRUE);
dfr <- read.table("https://quadstat.com/system/files/datasets/admin/dataset-41414.csv", sep=",", header = TRUE);
colNam <- colnames(X);
X <- cbind(X[,1]);
colnames(X) <- c(colNam[1]);
dfr <- as.data.frame(c(dfr[1]))
png(file = "/tmp/operation-62707-%01d.png", bg = "transparent");
hist(X, main = "Frequency Histogram")
library("lattice")
settings <- list(par.main.text = list(font = 2, just = "center"))
h <- histogram(X, par.settings=settings, main="Relative Frequency Histogram", col = c("transparent"));
print(h);
h <- invisible(hist(X, plot = FALSE))
h$counts <- cumsum(h$counts)
plot(h, main = "Cumulative Frequency Histogram")
boxplot(X, main = "Boxplot");
require("ggplot2");
ggplot(as.data.frame(X), aes(x = X[,1])) + geom_dotplot() + ggtitle("Dotplot") + theme(plot.title = element_text(hjust = 0.5)) + theme(axis.title.y=element_blank(), axis.text.y=element_blank(), axis.ticks.y=element_blank());
ggsave("ggplot.png");
dev.off();
V11
VariableValue
Image
OutputLoading required package: ggplot2
Saving 6.67 x 6.67 in image
RX <- read.table("https://quadstat.com/system/files/datasets/admin/dataset-40927.csv", sep=",", header = TRUE);
dfr <- read.table("https://quadstat.com/system/files/datasets/admin/dataset-40927.csv", sep=",", header = TRUE);
colNam <- colnames(X);
X <- cbind(X[,3]);
colnames(X) <- c(colNam[3]);
dfr <- as.data.frame(c(dfr[3]))
png(file = "/tmp/operation-52414-%01d.png", bg = "transparent");
hist(X, main = "Frequency Histogram")
library("lattice")
settings <- list(par.main.text = list(font = 2, just = "center"))
h <- histogram(X, par.settings=settings, main="Relative Frequency Histogram", col = c("transparent"));
print(h);
h <- invisible(hist(X, plot = FALSE))
h$counts <- cumsum(h$counts)
plot(h, main = "Cumulative Frequency Histogram")
boxplot(X, main = "Boxplot");
require("ggplot2");
ggplot(as.data.frame(X), aes(x = X[,1])) + geom_dotplot() + ggtitle("Dotplot") + theme(plot.title = element_text(hjust = 0.5)) + theme(axis.title.y=element_blank(), axis.text.y=element_blank(), axis.ticks.y=element_blank());
ggsave("ggplot.png");
dev.off();
V13
VariableValue
Image
RX <- read.table("https://quadstat.com/system/files/datasets/admin/dataset-81559.csv", sep=",", header = TRUE);
dfr <- read.table("https://quadstat.com/system/files/datasets/admin/dataset-81559.csv", sep=",", header = TRUE);
colNam <- colnames(X);
X <- cbind(X[,1]);
colnames(X) <- c(colNam[1]);
dfr <- as.data.frame(c(dfr[1]))
png(file = "/tmp/operation-45217-%01d.png", bg = "transparent");
t <- table(X);
pie(t, main="Pie Chart");dev.off();
V11
VariableValue
Image
RX <- read.table("https://quadstat.com/system/files/datasets/admin/dataset-79160.csv", sep=",", header = TRUE);
dfr <- read.table("https://quadstat.com/system/files/datasets/admin/dataset-79160.csv", sep=",", header = TRUE);
colNam <- colnames(X);
X <- cbind(X[,1]);
colnames(X) <- c(colNam[1]);
dfr <- as.data.frame(c(dfr[1]))
png(file = "/tmp/operation-12490-%01d.png", bg = "transparent");
t <- table(X);
pie(t, main="Pie Chart");dev.off();
V11
VariableValue
Image
OutputLoading required package: ggplot2
Saving 6.67 x 6.67 in image
RX <- read.table("https://quadstat.com/system/files/datasets/admin/dataset-79160.csv", sep=",", header = TRUE);
dfr <- read.table("https://quadstat.com/system/files/datasets/admin/dataset-79160.csv", sep=",", header = TRUE);
colNam <- colnames(X);
X <- cbind(X[,1]);
colnames(X) <- c(colNam[1]);
dfr <- as.data.frame(c(dfr[1]))
png(file = "/tmp/operation-62699-%01d.png", bg = "transparent");
hist(X, main = "Frequency Histogram")
library("lattice")
settings <- list(par.main.text = list(font = 2, just = "center"))
h <- histogram(X, par.settings=settings, main="Relative Frequency Histogram", col = c("transparent"));
print(h);
h <- invisible(hist(X, plot = FALSE))
h$counts <- cumsum(h$counts)
plot(h, main = "Cumulative Frequency Histogram")
boxplot(X, main = "Boxplot");
require("ggplot2");
ggplot(as.data.frame(X), aes(x = X[,1])) + geom_dotplot() + ggtitle("Dotplot") + theme(plot.title = element_text(hjust = 0.5)) + theme(axis.title.y=element_blank(), axis.text.y=element_blank(), axis.ticks.y=element_blank());
ggsave("ggplot.png");
dev.off();
V11