How to make a outline symbol maps using plotly?
MACHINE LEARNING RECIPES DATA CLEANING PYTHON DATA MUNGING PANDAS CHEATSHEET     ALL TAGS

How to make a outline symbol maps using plotly?

How to make a outline symbol maps using plotly?

This recipe helps you make a outline symbol maps using plotly

0

Recipe Objective

Make a outline symbol maps using plotly.

Outline symbol maps which are nothing but to make scatter plots on map, in this the plotly figures are made with plotly express such as px.scatter_geo, px.line_geo or px.choropleth functions or containing go.Choropleth or go.Scattergeo graph objects will have a go.layout.Geo object which can be used to control the appearance of the base map onto which data is being plotted. Here for geographical scatter plot we are going to use plotly express function i.e px.scatter_geo. The size argument is used to set the size of markers from a given column of the DataFrame.

Step 1 - Import libraries

import plotly.express as px import seaborn as sns

Step 2 - load Dataset

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

Step 3 - Plot graph

fig = px.scatter_geo(Sample_data, locations="iso_alpha", color="continent", hover_name="country", size="pop", animation_frame="year", projection="natural earth") fig.show()

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.

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.

Human Activity Recognition Using Multiclass Classification in Python
In this human activity recognition project, we use multiclass classification machine learning techniques to analyse fitness dataset from a smartphone tracker.

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.

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.

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.

Loan Eligibility Prediction in Python using H2O.ai
In this loan prediction project you will build predictive models in Python using H2O.ai to predict if an applicant is able to repay the loan or not.

Census Income Data Set Project - Predict Adult Census Income
Use the Adult Income dataset to predict whether income exceeds 50K yr based on census data.

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.

Ecommerce product reviews - Pairwise ranking and sentiment analysis
This project analyzes a dataset containing ecommerce product reviews. The goal is to use machine learning models to perform sentiment analysis on product reviews and rank them based on relevance. Reviews play a key role in product recommendation systems.