Version: 1.1 Download the plugin attached Introduction This article explains how to install and configure the Dynamic Dim/Value Chart plugin as seen below. The Dynamic Dim/Value chart allow Dashboard designers to predefine multiple dimension and/or v...
Gitlab Link: https://gitlab.com/SisenseJS/filter-samples This project was created to show several ways to integrate 3rd party components with Sisense.js. Many web apps that leverage Sisense.js for embedding do so because they already have a consisten...
Version: 1.4 DisclaimerUse the download Link for L2023.7 or newer. For older versions of Sisense, use the other attached version of the ColorHeatmap pluginIntroductionThis article explains how to install and configure the Color Heatmap widget as seen...
Currently, in Linux installation, you can face widget [Pivot2]. This is a new realization of the widget [Pivot]. This means that it has new styles, new classes, etc. Almost all the scripts to change styles of the resulting table used DOM selectors to...
Connecting to Quickbooks online. Begin with downloading the connector. Create an app in Quickbooks online environment Creating an AppYou can follow the steps below to create an app and obtain the OAuth client credentials, the consumer key and consume...
When summarizing statistics across multiple categories, analysts often have to decide between using weighted and unweighted averages. An unweighted average is essentially your familiar method of taking the mean. Let's say 0% of users logged into my s...
One of the first steps in exploratory data analysis is to identify the characteristics of the data, importantly including a test for distribution patterns. In this example, learn how to check if your data is normally distributed in Python with a visu...
Often times, we want to analyze data with the date from yesterday. How do we auto-populate yesterday's date? There are a few formats that we can use! The syntax below lets us get yesterday's date with timestamp:select dateadd(day,-1,getdate()) To onl...
Here's the scenario: you just used SQL and have an output that shows the results you want, but it isn't optimally displayed. Instead of writing cumbersome case when statements, unions/union alls, we can quickly use a few short functions in Python or ...
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.Using Periscope Data's Pytho...
Usually when I need to upload a CSV I will use the Sisense for Cloud Data Team's CSV functionality. It's fast, easy, allows me to join the data with all my databases, and automatically casts types. Sometimes, however, I like to interact directly with...
Pandas makes transposing tables beautifully simple! Below are a couple examples using the example SQL output below: This first Python snippet allows you to define your own column headers: # SQL output is imported as a pandas dataframe variable called...
Update: Sisense for Cloud Data Teams now allows you the ability to create additional date range filters without having to go through the below workaround. Refer to our docs here under "Additional Date Range Filters"Sometimes, users would like to appl...
A common hazard when adding data labels to a chart, is that often times the data labels will overlap when there are two points located relatively close to one another. Fortunately, the flexibility of python allows us a way around overlapping data lab...
Sometimes outliers are just in the way of chart creation and we want to put them in their own section of chart. Python can help us do that! I started with a data set like "count of users created by month" where there were only values for Jan-Feb and ...
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