Static visualisation After conducting analysis and plotting various plots for comparisons, the next step would be to effectively communicate your results. The next Jupyter Notebook picks up with generating the …
Plots can be linked together to provide a wholesome experience. In cases where we have to compare plots, we can show multiple plots together in rows or columns to make …
Now that we know how to create a layout using a different combination of rows and columns, let’s move on to understanding how to interact with the plot. Let’s explore …
What are layouts? The layout provides meaning to your design and makes it look noticeably appealing. It helps to maintain balance from page to page. Grids are an essential component …
As mentioned previously, Bokeh can plot different formats of data by extracting the data out from Pandas DataFrames, dictionaries, or by using its very own ColumnDataSource class. In most cases, …
How do I plot with glyphs? We’ve seen how to plot a single square glyph: by passing in a scalar x and y argument. Most glyph functions can also accept …
Using Bokeh to output figures Ahead of going into detail on what glyphs are, we first need to know about how Bokeh outputs the figures we draw. Bokeh can output …
Watch the video to learn more about what Bokeh is, when it’s used and why it is used. When to use Bokeh? More often than not these days, your visualisations …
We’ll take a look at a demonstration of the process now. As with our previous demonstration examples, much of this demonstration will be interactive using Jupyter Notebook. Before we move …
Watch this video here to revisit and explore the phases of data analytics. The phases explained in the video will be more like a refresher for you if you already …
Data communication and visualisation in Tableau Today one of the fastest evolving business intelligence (BI) and data visualisation tools is Tableau. The rising demand for big data and growing public …