# Interactive Visualizations with Plotly (Data Science & ML) > Plotly Express, interactive charts, dashboards, animations, geographic maps, export - 18 interview questions - Mid-Level - [Interview Questions: Data Science & ML](https://sharpskill.dev/en/technologies/data-science/interview-questions.md) ## 1. What is the main difference between Plotly Express and Plotly Graph Objects? **Answer** Plotly Express is a high-level API that allows creating charts in a single line of code with simple parameters. Plotly Graph Objects is the low-level API offering complete control over every chart element. Plotly Express uses Graph Objects internally, which allows switching between them to further customize charts. ## 2. How to create a scatter plot with Plotly Express from a Pandas DataFrame? **Answer** The px.scatter() function takes a DataFrame and uses x and y parameters to specify which columns to display on each axis. This concise syntax allows quickly creating interactive visualizations without complex configuration. Optional parameters like color, size and hover_data allow enriching the chart. ## 3. Which Plotly Express parameter allows coloring points according to a categorical variable? **Answer** The color parameter in Plotly Express automatically assigns distinct colors to each unique value of a categorical variable. Plotly generates an interactive legend and uses a default color palette optimized for visual distinction. This parameter also works with numerical variables to create a color gradient. ## 15 more questions available - How to display a Plotly chart in a Jupyter notebook? - How to export a Plotly chart to HTML format for sharing? 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