Chart Gallery

Explore 22+ scientific visualization types. Each chart includes Python code examples, usage tips, and interactive demos powered by Matplotlib, Plotly, Seaborn, and more.

Showing 22 of 22 chart types
Arc diagram showing connections between characters in a story
Static
Diagrams

Arc Diagram

Visualizes connections between nodes placed along a single axis using semicircular arcs.

nxviz
matplotlib
networkx
Area graph showing revenue trends over 12 months with semi-transparent blue fill
Static
Time Series

Area Graph

Displays quantitative data over time, emphasizing the magnitude of change with filled regions.

matplotlib
pandas
plotly
Bar chart comparing average scores across 5 groups with error bars
Static
Comparison

Bar Chart

Compares categorical data using rectangular bars with heights proportional to values.

matplotlib
seaborn
plotly
Box and whisker plot comparing gene expression across 4 genotypes with significance brackets
Static
Distribution

Box and Whisker Plot

Displays data distribution using quartiles, median, and outliers in a standardized format.

seaborn
matplotlib
plotly
Interactive bubble chart showing CO2 emissions vs renewable energy with population-sized bubbles
Interactive
Comparison

Bubble Chart

A scatter plot where bubble size represents a third dimension of data.

matplotlib
seaborn
plotly
Interactive bubble map of the USA showing sales volume by city
Interactive
Geospatial

Bubble Map

A map displaying circles sized proportionally to values over geographic regions.

folium
geopandas
plotly
Bullet graph showing revenue, EBITDA, and net profit against targets with performance ranges
Static
Code
Comparison

Bullet Graph

Compares a primary measure against targets with qualitative performance ranges.

plotly
matplotlib
Calendar heatmap showing daily step counts for 2023 with YlOrRd color scale
Static
Code
Time Series

Calendar Heatmap

Visualizes daily data organized by calendar format with color-coded intensity.

calmap
matplotlib
Candlestick chart showing 30 days of stock price movements with volume
Static
Code
Time Series

Candlestick Chart

Displays OHLC (Open, High, Low, Close) price movements for financial analysis.

mplfinance
plotly
World choropleth map showing GDP per capita with Viridis color scale
Interactive
Code
Geospatial

Choropleth Map

A thematic map where regions are shaded in proportion to statistical values.

folium
geopandas
plotly
Circle packing diagram showing budget allocation by department and subcategory
Static
Code
Hierarchical

Circle Packing

Displays hierarchical data as nested circles with size proportional to values.

circlify
matplotlib
Interactive connection map showing flight routes from New York to major cities worldwide
Interactive
Code
Geospatial

Connection Map

Shows connections and routes between geographic points on a map.

folium
geopandas
plotly
Interactive
Time Series

Gantt Chart

Illustrates a project schedule with tasks shown as horizontal bars over time.

plotly
matplotlib
Static
Statistical

Heatmap

Represents data values as colors in a two-dimensional matrix format.

seaborn
matplotlib
plotly
Static
Distribution

Histogram

Displays the distribution of numerical data by grouping values into bins.

matplotlib
seaborn
Static
Time Series

Line Graph

Displays data points connected by straight line segments to show trends over time.

matplotlib
seaborn
plotly
Static
Comparison

Radar Chart

Displays multivariate data on axes starting from a central point.

matplotlib
plotly
Interactive
Diagrams

Sankey Diagram

Flow diagram where arrow widths are proportional to flow quantities.

plotly
Static
Statistical

Scatterplot

Displays values for two variables as points on a Cartesian coordinate system.

matplotlib
seaborn
plotly
Interactive
Hierarchical

Treemap

Displays hierarchical data as nested rectangles sized by value.

squarify
plotly
Static
Distribution

Violin Plot

Combines box plots with kernel density to show distribution shape across groups.

seaborn
matplotlib
plotly
Static
Statistical

Word Cloud

Visualizes text data with word size proportional to frequency or importance.

wordcloud
matplotlib

About This Chart Gallery

This comprehensive chart gallery showcases over 22 visualization types commonly used in data science, scientific research, and business intelligence. Each chart type includes detailed descriptions, Python code examples, and practical use cases.

Whether you need to create bar charts, scatter plots, heatmaps, geographic maps, or advanced visualizations like Sankey diagrams and treemaps, Plotivy supports them all with AI-powered code generation.

Time Series

5 charts

Comparison

4 charts

Distribution

3 charts

Geospatial

3 charts

Hierarchical

2 charts

Diagrams

2 charts

Statistical

3 charts