Data visualizationThe efficiency of modern computer graphics allows us to explore collections of space curves simultaneously with "drag-to-rotate" interfaces. This inspires us to replace "scatterplots of points"
sns.scatterplot(x=insurance_data['bmi'],y=insurance_data['charges']) 通过此散点图可见,BMI(体重指数)与charges(保险费用),基本呈现正相关。 where customers with higher BMI typically also tend to pay more in insurance costs. (This pattern makes sense, since high BMI is typically associate...
How to choose the right data visualization Notebook How to save a plot to a file using Matplotlib NaN detection in pandas How to execute raw SQL in SQLAlchemy R: Multi-column data frame sorting Database management 概述 NULL to NOT NULL: SQL server How to use IF...THEN logic in ...
1. What is the primary use of box plots in data visualization? A. To show the distribution of data B. To display trends over time C. To compare categorical data D. To represent data hierarchies Show Answer 2. Which method in Pandas is used to create box plots? A. plot_box(...
TinkerPlots is a data visualization and modeling tool developed for use by middle school through university students. TinkerPlots can be used to teach grades 4 and up in subjects including math, statistics, social science, or physical or biological science... see theTinkerPlots Overviewfor more ...
Bar plots are essential tools in data visualization, allowing for the comparison of categorical data through the use of rectangular bars. In Python, Matplotlib provides robust functionality to create bar plots efficiently. This guide will walk you through the fundamentals of creating bar plots using ...
分布绘图-Visualizing distributions data An early step in any effort to analyze or model data should be to understand how the variables are distributed. Techniques for distribution visualization can provide quick answers to many important questions. What range do the observations cover? What is their ...
In the examples, we focused on cases where the main relationship was between two numerical variables. If one of the main variables is “categorical” (divided into discrete groups) it may be helpful to use a more specialized approach to visualization. 在关系图教程中,我们看到了如何使用不同的...
Create a plot with multiple y-axes using the Chart Studio data visualization tool Step 1 Introduction An additional y-axis can be placed on the right-hand side of your graph, and it's really simple to create. This feature is useful if you'd like to compare datasets with vastly different...
Machine Learning Essentials: Practical Guide in R by A. Kassambara (Datanovia) R Graphics Essentials for Great Data Visualization by A. Kassambara (Datanovia) GGPlot2 Essentials for Great Data Visualization in R by A. Kassambara (Datanovia) Network Analysis and Visualization in R by A. Kass...