Interactive Data Visualization using Plotly
Plotly can be used for various interactive data visualizations in python, here is an example of how we can plot a line graph using plotly.
import plotly.express as px
# using the iris dataset
df = px.data.iris()
# plotting the line chart
fig = px.line(df, y="sepal_width",)
# showing the plot
fig.show()
Output:
What is Interactive Data Visualization?
Organizations are always looking for innovative methods to effectively share insights and get value from their data in todayâs data-rich environment. With dynamic and engaging images, users may explore and comprehend data thanks to the potent interactive data visualization technology. The article aims to discuss the importance, benefits, and techniques of Interactive Data Visualization.
Table of Content
- Understanding Interactive Data Visualization
- Importance of Interactive Data Visualization
- Modern Data Visualization
- Features and Benefits of Modern Interactive Visualizations
- Benefits of Interactive Data Visualization
- Interactive Data Visualization using Plotly
- Interactive Data Visualization using Bokeh
- Interactive Data Visualization- FAQs
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