Data and information visualization
When presenting data, building dashboards, or creating visual reports.
Comparison: Bar, Column, Radar
Distribution: Histogram, Box plot
Relationship: Scatter, Bubble
Composition: Pie, Stacked area
Trend: Line, Area
Part-to-whole: Treemap, Sunburst
# Python
import matplotlib.pyplot as plt
import seaborn as sns
import plotly.express as px
from bokeh.plotting import figure
# JavaScript
import * as d3 from 'd3';
import Chart from 'chart.js/auto';
import { Vega } from 'vega';
// Plotly Dash example
import dash
from dash import dcc, html
app = dash.Dash(__name__)
app.layout = html.Div([
dcc.Graph(id='chart'),
dcc.Interval(interval=5000)
])