1 |
Airquality TEMP |
Making a hectograph based on the frequency of Temperatures in New York City from May 1 - September 30, 1973, |
2 |
Simple BarPlot with CARS93 data |
Making a bar graph based on the frequency of the TYPES of cars manufactured in 1993. |
3 |
Males Hair-To-Eye_Color |
Analytical Data Analysis of Male Hair and Eye Color Frequencies Using Bar Plot. |
4 |
Females Hair-To-Eye_Color |
Exploratory Data Analysis of Hair and Eye Color Frequencies in Females Using Bar Plot. |
5 |
Grouping Origins of cars by Type |
Comparison of USA and non-USA Cars by Type: A Grouped Bar Plot Analysis of Cars93 Data. |
6 |
Simple Pie Chart with Cars93 Data |
Pie Chart of Car Types in the Cars93 Dataset. |
7 |
Simple Scatterplot with Airquality Data |
Scatterplot of Temperature vs Wind Velocity in the Airquality Dataset. |
8 |
Simple Boxplot with Airquality Data |
Boxplot of Temperature by Month in Airquality Dataset. |
9 |
Hair Eye Color Visualization |
Distribution of Hair and Eye Color Frequencies. |
10 |
A Barplot of Cars93 Dataset with GGplot |
Car Type and Frequency in the Cars93 Dataset. |
11 |
Population Age Distribution with GGplot |
Grouped Bar Plot of Population Age Distribution in Selected Countries. |
11 |
Air Quality Analysis with GGplot's Scatterplot |
Analysis of the Effect of Wind and Ozone on Temperature in Air Quality Data. |
12 |
Air Quality Analysis with GGally |
An R script analyzing the air quality dataset using the GGally package for creating a matrix of scatterplots between variables, and ggplot2 for visualizing individual plots. |
13 |
Boxplot of Monthly Temperature in New York City |
This R script reads in the airquality dataset and creates a boxplot of the temperature for each month in New York City. |
14 |
Boxplot of Pre-treatment Weights for Three Anorexia Treatment Groups |
This script creates a boxplot with points overlaid to compare the pre-treatment weights of patients in three different treatment groups for anorexia. |
15 |
Analysis of Daily Total Precipitation in Boulder Creek from August to October 2013 |
This R code reads daily precipitation data from a CSV file, filters the data to include observations from August to October 2013, and creates a bar plot of the daily total precipitation during the selected period. |
16 |
Daily Precipitation - Boulder, Colorado from 2003 to 2013 |
This script reads in a dataset containing daily precipitation values in inches for Boulder, Colorado from 2003 to 2013.The data is also faceted by year to show how precipitation varies over time. |
17 |
Monthly Total Daily Precipitation in Boulder, Colorado from 2003 to 2013 |
This script reads in a daily precipitation dataset for Boulder, Colorado from 2003 to 2013 and aggregates the data by month and year to create a bar chart of monthly total daily precipitation. |
18 |
Stream Discharge (CFS) - Boulder Creek 1986-2016 |
This script reads in daily stream discharge data for Boulder Creek for the years 1986-2013 and creates a scatter plot of the discharge values for the period between 1986-2016 |
19 |
Daily Total Precipitation - Boulder Station, 1948-2013 |
This script reads in daily precipitation data from Boulder Station spanning from 1948 to 2013, and calculates the total daily precipitation for each day from January to September 2013. |
20 |
Visualization of Stream Discharge Time Series with Plotly and DyGraph |
This script reads in a daily stream discharge dataset spanning from 1986-2013, and creates interactive time series visualizations of the data using the dygraphs package. |
21 |
Life Expectancy over Time in Ghana |
This script loads life expectancy data from the World Bank and continent data from Our World in Data, cleans and processes the data using dplyr and tidyr, and then creates a plot of Ghana's life expectancy over time from 1960 to 2022 using ggplot2. The plot shows a scatter plot of the data points and a line connecting them. |
22 |
Interactive Histogram of Random Value with Shiny & R plot |
This script generates a histogram of a user-specified number of random values between 0 and 1 using Shiny slider. The histogram displays the frequency distribution of the generated values. Additionally, the script calculates and displays the mean, median, and standard deviation of the generated values. |
23 |
Interactive Scatterplot with Correlation and Regression Line |
This script generates a histogram of a user-specified number of random values between 0 and 1 using Shiny slider. The plot is displayed using ggplot2, and summary statistics including mean, median, and standard deviation are displayed below the plot. |
24 |
Interactive Histogram of Random Value with Shiny & GGplot |
This script uses the shiny package to create an interactive scatterplot with the airquality dataset. The plot includes a regression line and displays the correlation coefficient between the selected variables on the x-axis and y-axis. |
25 |
Density pPots for the Variables of Iris.uci |
This script creates a density plot from the variables of the Iris dataset |
26 |
Exploratory Data Analysis of Iris Dataset using GGally Package |
The analysis provides insights into the relationships between different features of the Iris flowers. |