How to create a bar chart using lattice package in R?

This recipe helps you create a bar chart using lattice package in R

Recipe Objective

How to create a bar chart using a lattice package in R? Bar charts are a graphical representation of categorical or discrete type of data. The data is represented in the form of rectangular bars either horizontally or vertically on the graph. Bar graphs can be used to compare different categories of data over a time period. Lattice is a data visualization and graphics package in R — graph_type (formula, data) This recipe demonstrates an example on a bar chart.

Step 1 - Install necessary package and library

install.packages("lattice") library(lattice)

Step 2 - Create a dataframe

data <- data.frame(x = c(10,5,6,15,20,19), type = c("A","B","C","D","E","F")) print(data)

"Data is :" 

print(data)
   x type
1 10    A
2  5    B
3  6    C
4 15    D
5 20    E
6 19    F

Step 3 - Plot a bar chart

syntax - barchart(x,data,main,xlab,ylab) x - the categorical data value data - the input data main - the title of the chart xlab - the title of the x axis ylab - the title of the y axis

barchart(x~type, data=data, main="Bar chart", xlab="x_values", ylab="type")

 " Output of the code is :"

What Users are saying..

profile image

Jingwei Li

Graduate Research assistance at Stony Brook University
linkedin profile url

ProjectPro is an awesome platform that helps me learn much hands-on industrial experience with a step-by-step walkthrough of projects. There are two primary paths to learn: Data Science and Big Data.... Read More

Relevant Projects

Hands-On Approach to Causal Inference in Machine Learning
In this Machine Learning Project, you will learn to implement various causal inference techniques in Python to determine, how effective the sprinkler is in making the grass wet.

Credit Card Default Prediction using Machine learning techniques
In this data science project, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.

Image Segmentation using Mask R-CNN with Tensorflow
In this Deep Learning Project on Image Segmentation Python, you will learn how to implement the Mask R-CNN model for early fire detection.

LLM Project to Build and Fine Tune a Large Language Model
In this LLM project for beginners, you will learn to build a knowledge-grounded chatbot using LLM's and learn how to fine tune it.

Deep Learning Project for Text Detection in Images using Python
CV2 Text Detection Code for Images using Python -Build a CRNN deep learning model to predict the single-line text in a given image.

Machine Learning Project to Forecast Rossmann Store Sales
In this machine learning project you will work on creating a robust prediction model of Rossmann's daily sales using store, promotion, and competitor data.

Time Series Python Project using Greykite and Neural Prophet
In this time series project, you will forecast Walmart sales over time using the powerful, fast, and flexible time series forecasting library Greykite that helps automate time series problems.

Tensorflow Transfer Learning Model for Image Classification
Image Classification Project - Build an Image Classification Model on a Dataset of T-Shirt Images for Binary Classification

Personalized Medicine: Redefining Cancer Treatment
In this Personalized Medicine Machine Learning Project you will learn to classify genetic mutations on the basis of medical literature into 9 classes.

Learn Hyperparameter Tuning for Neural Networks with PyTorch
In this Deep Learning Project, you will learn how to optimally tune the hyperparameters (learning rate, epochs, dropout, early stopping) of a neural network model in PyTorch to improve model performance.

OSZAR »