DV-EXP-3

 

Exercise 4: GGPLOT2 in R

Group manipulation and data reshaping in R, understanding the philosophy of ggplot2, bar plot, pie chart, histogram, boxplot, scatter plotand regression plots

 

1.    Write R Script for Group Manipulation and Data Reshaping

For following data

Group	A	A	B	B	C	C
Value	10	15	12	18	8	14

 

Answer:

# Install the dplyr package if not already installed

if (!require(dplyr)) {

  install.packages("dplyr")

}

if (!require(tidyr)) {

  install.packages("tidyr")

}

library(dplyr)

library(tidyr)

# Load necessary libraries

library(dplyr)

# Create a sample dataset

data <- data.frame(

  Group = c("A", "A", "B", "B", "C", "C"),

  Value = c(10, 15, 12, 18, 8, 14)

)

# Group manipulation: Calculate the mean value for each group

group_means <- data %>%

  group_by(Group) %>%

  summarise(Mean_Value = mean(Value))

# Data reshaping: Convert to wide format

wide_data <- pivot_wider(group_means, names_from = Group, values_from = Mean_Value)

# Print the result

print(wide_data)

OUTPUT

# A tibble: 1 × 3
      A     B     C
  <dbl> <dbl> <dbl>
1  12.5    15    11

 

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1. 2.  Display scatterplot for two variables by assigning random values to them using ggplot2.

OUTPUT

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3. 3.    Display Histogram for two variables by assigning random values to them using GGPLOT2.

                OUTPUT

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44.    Display Boxplot by assigning random data using GGPLOT2 with multiple colours and labels wherever possible.

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4. Display piechart by assigning random data using GGPLOT2 with multiple colours and labels wherever possible.

OUTPUT

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6. Display scatterplot with regression line by assigning random data using GGPLOT2 with multiple colours and labels wherever possible.

OUTPUT

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EXPERPERIMENT-5

. Display scatterplot with regression line by assigning random data using GGPLOT2 with multiple colours and labels wherever possible.

OUTPUT

1.    Create a scatter plot with gradient filing using ggplot2  for sample data.

OUTPUT