What is relational plot and how to Make a relational plot using seaborn?

What is relational plot and how to Make a relational plot using seaborn?

What is relational plot and how to Make a relational plot using seaborn?

This recipe explains what is relational plot and how to Make a relational plot using seaborn


Recipe Objective

what is relational plot? Make a relational plot using seaborn.

Relational Plot the statistical relationship between the data points is visualized with the help of these plot, the function for this plot is relplot() which provides us access to some other different axes-level functions which shows the relationships between two variables with semantic mappings of subsets.

The scatterplot and lineplot both plots can be drawn by using kind parameter in the relplot. By default the relplot gives us scatterplot, lineplot can be drawn by using kind.

Step 1 - Import the necessary libraries

import seaborn as sns

Step 2 - load the dataset

Sample_data = sns.load_dataset('penguins') Sample_data.head()

Step 3 - Plot the graph

sns.relplot(x="flipper_length_mm", y="body_mass_g", data=Sample_data)

Step 4 - Plot the line graph

sns.relplot(x="flipper_length_mm", y="body_mass_g", data=Sample_data, kind="line")

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 bar, scatter, line etc.

Relevant Projects

Data Science Project in Python on BigMart Sales Prediction
The goal of this data science project is to build a predictive model and find out the sales of each product at a given Big Mart store.

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 Credit Default | Give Me Some Credit Kaggle
In this data science project, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.

Demand prediction of driver availability using multistep time series analysis
In this supervised learning machine learning project, you will predict the availability of a driver in a specific area by using multi step time series analysis.

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.

Resume parsing with Machine learning - NLP with Python OCR and Spacy
In this machine learning resume parser example we use the popular Spacy NLP python library for OCR and text classification.

Perform Time series modelling using Facebook Prophet
In this project, we are going to talk about Time Series Forecasting to predict the electricity requirement for a particular house using Prophet.

Time Series Forecasting with LSTM Neural Network Python
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.

Choosing the right Time Series Forecasting Methods
There are different time series forecasting methods to forecast stock price, demand etc. In this machine learning project, you will learn to determine which forecasting method to be used when and how to apply with time series forecasting example.

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.