Does your team prefer Python over R? Or are you looking to brush up your on your Python skills? We'll walk through a simple example of a linear regression model using the scikit-learn library in the Python/R Integration. In this exercise, we will als...
Plotly is wonderful, but sometimes you end up with a chart that looks like it's too small, or that it's not taking up all the space. Why does it do that? In this post, you'll learn how to fix that:With Python, this is actually very easy. We just need...
The above example is taken from plot.ly's documentation here. A few updates have been made to the example to make it easier to use within the Sisense for Cloud Data Team's Python/R integration.Pie charts with a hole in it give us donut charts. Now ma...
Visually it can be preferable to display a funnel chart horizontally. The following code outlines how to do this. Note, your SQL output must have 2 columns titled as follows: phases: the names of each stage along the funnel values: the value associat...
Ever looked at a chart like this: and thought to yourself that the data would make much more sense with curved lined connecting the points, rather than straight lines? Well fear not, because plot.ly makes it easy to adjust this using the spline shape...
Waterfall charts are a great way to highlight changes in your data between steps or periods. The following python script easily plugs in with your SQL output, simply paste this into your Python 3.6 code box provided with the Python/R Integration, ens...
We can create overlapping area charts in Sisense for Cloud Data Teams with the Plot.ly integration! These offer a better way to see the exact value per shaded region than stacked area graphs. If your purpose, however, is to draw attention to the tota...
Looking to create a radial bar chart with plot.ly? Look no further! Radial bar charts are a great way to show progress to a goal. The following python script easily plugs in with your SQL output, simply paste this into your Python 3.6 code box provid...
Boxplots are a widely recognized chart type and are excellent for quickly and succinctly visualizing distributions. The following Python script, leveraging the plot.ly library with Sisense for Cloud Data Team's Python/R Integration, generates the ima...
Contextualizing KPIs is a must. For instance, if a company has 500 users, how does that compare to the number of users last week? Using Sisense for Cloud Data Teams' Python Integration, we can create customized number overlays to cleanly present this...
Sankey diagrams are a very easy-to-digest way to look at the flow of objects between different points. The below script takes a SQL output with these 3 columns: unique_id: the unique identifier for that entity stage_name: the name of the stage in the...
Gantt charts are a great way to show which projects and tasks different teams are working on at a given time. This chart type is heavily used by Project Managers, Task Managers, and anyone else managing multiple workflows. We can use the plot.ly libr...
Funnel charts are a great way to represent any drop-offs in sample size throughout a series of steps. Using a little bit of Python handiwork in Sisense for Cloud Data Teams' R/Python integration, we can easily create this chart type. A common use cas...
Want to create a chart-level filter, allowing you to change your Y axis? Say hello to your new favorite library plot.ly! Sisense for Cloud Data Teams' Python and R integration allows you to use Plot.ly (as well as a host of other libraries), some of ...
A popular way of visualizing text data is using WordClouds. Using Python's WordCloud library this can be done with a column of text data and a few lines of code.# SQL output is imported as a pandas dataframe variable called "df" import matplotlib.pyp...
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