Explain how to Joint plot using seaborn?

Explain how to Joint plot using seaborn?

Explain how to Joint plot using seaborn?

This recipe explains how to Joint plot using seaborn


Recipe Objective

Joint plot using seaborn.

Joint plot these plots are being used for more flexibility, the function of joint plot provides a convinient interface to "JointGrid" class with several canned plot.

Step 1 - Import the necessary libraries

import seaborn as sns import matplotlib.pyplot as plt

Step 2 - load the dataset

attention_data = sns.load_dataset("attention") attention_data.head()

Step 3 - Plot the graph

sns.jointplot(x = "solutions", y = "score", kind = "hex", data = attention_data) plt.show()

Here from the above figures: x - denotes which variable to be plot on x-axis y - denotes which variable to be plot on y-axis data - denotes the Sample data name that we have taken. kind - denotes which type of graph we want for plotting for e.g hex, scatter, violin etc.

Relevant Projects

PySpark Tutorial - Learn to use Apache Spark with Python
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.

Customer Market Basket Analysis using Apriori and Fpgrowth algorithms
In this data science project, you will learn how to perform market basket analysis with the application of Apriori and FP growth algorithms based on the concept of association rule learning.

Zillow’s Home Value Prediction (Zestimate)
Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.

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

Forecast Inventory demand using historical sales data in R
In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.

Predict Census Income using Deep Learning Models
In this project, we are going to work on Deep Learning using H2O to predict Census income.

Machine Learning or Predictive Models in IoT - Energy Prediction Use Case
In this machine learning and IoT project, we are going to test out the experimental data using various predictive models and train the models and break the energy usage.

Walmart Sales Forecasting Data Science Project
Data Science Project in R-Predict the sales for each department using historical markdown data from the Walmart dataset containing data of 45 Walmart stores.

Data Science Project on Wine Quality Prediction in R
In this R data science project, we will explore wine dataset to assess red wine quality. The objective of this data science project is to explore which chemical properties will influence the quality of red wines.

Machine Learning project for Retail Price Optimization
In this machine learning pricing project, we implement a retail price optimization algorithm using regression trees. This is one of the first steps to building a dynamic pricing model.