From the course: Interactive Dashboards with Plotly and Dash
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Basic Plotly charts
From the course: Interactive Dashboards with Plotly and Dash
Basic Plotly charts
- [Instructor] All right, so in my pandas course and in our matplotlib course, you really dug deep into chart selection and which types of charts are most appropriate for what type of data. We're going to fast forward a little bit through that. We'll still cover the basics, but by this point, many of you probably understand in a lot of cases, these basic chart types are fairly intuitive. But we can create basic charts with the following Plotly Express functions. The biggest piece here is we just want to pass in a data frame as the first argument and specify the data frame columns to plot for the rest of the argument. The biggest thing to be mindful of is that some data types won't be appropriate for certain chart types in these arguments. So in order to build a line chart, we just want to use px.line, pass in our data frame, specify which column we want to be our x-axis, and which column you want to be our y-axis. For a scatter chart, we want to use px.scatter, pass in a data frame…
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Contents
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Intro to Plotly charts6m 2s
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Demo: Plotly graph objects7m 38s
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Demo: Plotly Express9m 30s
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Basic Plotly charts2m 50s
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Demo: Scatterplots and line charts6m 19s
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Assignment: Line charts1m 51s
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Solution: Line charts5m 2s
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Plotting multiple series3m 50s
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Demo: Bar charts5m 21s
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Assignment: Bar charts2m 51s
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Solution: Bar charts2m 20s
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Pro tip: Bubble charts3m 1s
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Pie and donut charts6m 23s
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Assignment: Donut and bubble charts2m 6s
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Solution: Donut and bubble charts5m 16s
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Histograms4m 37s
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Update methods5m 4s
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Demo: Updating layout and traces7m 51s
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Demo: Updating X and Y axes5m 47s
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Adding annotations7m 54s
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Assignment: Chart formatting1m 52s
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Solution: Chart formatting3m 5s
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Choropleth maps5m 32s
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Demo: Choropleth maps7m 1s
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Mapbox maps5m 23s
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Demo: Density maps2m 4s
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Assignment: Maps1m 43s
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Solution: Maps1m 43s
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Key takeaways2m 36s
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