Abstract
Trends - A trend is defined as a pattern of change.
- sns.lineplot - Line charts are best to show trends over a period of time, and multiple lines can be used to show trends in more than one group.
Relationship - There are many different chart types that you can use to understand relationships between variables in your data.
- sns.barplot - Bar charts are useful for comparing quantities corresponding to different groups.
- sns.heatmap - Heatmaps can be used to find color-coded patterns in tables of numbers.
- sns.scatterplot - Scatter plots show the relationship between two continuous variables; if color-coded, we can also show the relationship with a third categorical variable.
- sns.regplot - Including a regression line in the scatter plot makes it easier to see any linear relationship between two variables.
- sns.lmplot - This command is useful for drawing multiple regression lines, if the scatter plot contains multiple, color-coded groups.
- sns.swarmplot - Categorical scatter plots show the relationship between a continuous variable and a categorical variable.
Distribution - We visualize distributions to show the possible values that we can expect to see in a variable, along with how likely they are.
- sns.histplot - Histograms show the distribution of a single numerical variable.
- sns.kdeplot - KDE plots (or 2D KDE plots) show an estimated, smooth distribution of a single numerical variable (or two numerical variables).
- sns.jointplot - This command is useful for simultaneously displaying a 2D KDE plot with the correspondin

本文介绍了如何利用不同类型的图表来展示和理解数据集中的趋势、关系及分布情况,包括折线图、条形图、热力图、散点图、直方图和密度图等。
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