How to create an interactive scatter plot in ggplot?

How to create an interactive scatter plot in ggplot?

How to create an interactive scatter plot in ggplot?

This recipe helps you create an interactive scatter plot in ggplot

Recipe Objective

How to create an interactive scatter plot in ggplot ? Scatter plots are graphs that represent a relation between an independent variable (x) and a dependent variable (y). The plot represents data on a 2 dimensional plane, where dependent variable (y) is plotted on Y-axis and independent variable (x) is plotted on the X-axis. Scatter plots are used to explain the correlation between the two variables. There are mainly 3 cases in scatter plot correlation- - Positive correlation - Negative correlation - No correlation Scatter plots help us understand and visualize the data properly. ggplot is an R package for data visualization This recipe demonstrates an example on scatter plots using ggplot. .

Step 1 - Import necessary libraries

library("ggplot2") library("dplyr")

Step 1 - Define a dataframe

**Syntax for scatter plots using ggplot is- ggplot (data, aes (x=,y=)+geom_point ()** where, data — the required data to be plotted in a pie chart aes (x=data,y=data)) — the aes function — creates mapping from data to geom geom_point — the geometric object to be drawn.

# define two variables data = data.frame (x_data =c(2,3,8,9,4,6,9,7,6,9), y_data = c(3,9,5,6,8,6,5,8,9,3)) print(data)

Step 2 - Plot a scatter plot

ggplot(data = data, aes(x = x_data, y = y_data)) + geom_point(color = 'blue')

Relevant Projects

Predict Employee Computer Access Needs in Python
Data Science Project in Python- Given his or her job role, predict employee access needs using amazon employee database.

Natural language processing Chatbot application using NLTK for text classification
In this NLP AI application, we build the core conversational engine for a chatbot. We use the popular NLTK text classification library to achieve this.

Digit Recognition using CNN for MNIST Dataset in Python
In this deep learning project, you will build a convolutional neural network using MNIST dataset for handwritten digit recognition.

Data Science Project - Instacart Market Basket Analysis
Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.

Learn to prepare data for your next machine learning project
Text data requires special preparation before you can start using it for any machine learning project.In this ML project, you will learn about applying Machine Learning models to create classifiers and learn how to make sense of textual data.

Abstractive Text Summarization using Transformers-BART Model
Deep Learning Project to implement an Abstractive Text Summarizer using Google's Transformers-BART Model to generate news article headlines.

Data Science Project-TalkingData AdTracking Fraud Detection
Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.

Multi-Class Text Classification with Deep Learning using BERT
In this project, we will cover in detail the architecture of a transformer used in natural language processing use cases. We will go through the key nlp areas in the pre-transformer stage like bow, word2vec...and then the origin and gradual refinement of transformers. Finally, we will study one of the most popular state of the art transformer models, called BERT and use it for text classification on a large dataset.

German Credit Dataset Analysis to Classify Loan Applications
In this data science project, you will work with German credit dataset using classification techniques like Decision Tree, Neural Networks etc to classify loan applications using R.

Customer Churn Prediction Analysis using Ensemble Techniques
In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.