What is an Area Chart and how to make one in plotly?
MACHINE LEARNING RECIPES DATA CLEANING PYTHON DATA MUNGING PANDAS CHEATSHEET     ALL TAGS

What is an Area Chart and how to make one in plotly?

What is an Area Chart and how to make one in plotly?

This recipe explains what is an Area Chart and how to make one in plotly

0

Recipe Objective

What is area chart, explain with example.

Area chart this creates a stacked area plot, each filled area will corresponds to one value of the column given by the "line_group" parameter. The function used for this is "px.area".

Step 1 - Import the necessary libraries

import plotly.express as px import seaborn as sns

Step 2 - load the Sample data

Sample_data = px.data.gapminder() Sample_data.head()

Step 3 - Plot the graph

fig = px.area(Sample_data, x="year", y="pop", color="continent", line_group="country") fig.show()

Here in the above figure:

X - determine the column to be plotted on X-axis.

Y - determine the column to be plotted on Y-axis.

color - will plot the points in colored on graph according to the column that we have mentioned.

line_group - Values from this are used to group rows of the data_frame into line.

Relevant Projects

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.

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

Build a Music Recommendation Algorithm using KKBox's Dataset
Music Recommendation Project using Machine Learning - Use the KKBox dataset to predict the chances of a user listening to a song again after their very first noticeable listening event.

Expedia Hotel Recommendations Data Science Project
In this data science project, you will contextualize customer data and predict the likelihood a customer will stay at 100 different hotel groups.

Build a Collaborative Filtering Recommender System in Python
Use the Amazon Reviews/Ratings dataset of 2 Million records to build a recommender system using memory-based collaborative filtering in Python.

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.

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.

Loan Eligibility Prediction using Gradient Boosting Classifier
This data science in python project predicts if a loan should be given to an applicant or not. We predict if the customer is eligible for loan based on several factors like credit score and past history.

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.

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.