Formatting numbers can often be a tedious data cleaning task. It can be made easier with the format() function of the DSS Formula language. This function takes a "printf format string" and applies it …
We’re pleased to share that Dataiku has published an OnCrawl plugin. At OnCrawl, we are convinced that data science, like technical SEO, is essential to strategic decision-making in forward-looking co…
Do you have recipes that you want to re-use elsewhere in a project? You can copy recipes from the Flow for use in the same project. From the Flow, click the recipe you want to copy, and a Copy action …
You can create statistical quantiles without code in Dataiku DSS in two ways: * The Split recipe allows you to break down each quantile into separate datasets, so it can be useful if you’re planning t…
Many of our users have shown interest in utilizing MS Access in Dataiku DSS. In the interest of knowledge sharing, we wanted to demonstrate how to do just that. How to open an MS Access file * Downloa…
Which activities in DSS require that a user be added to the allowed_user_groups local Unix group? When configuring the setup of the local code isolation capability of the User Isolation Framework* (fo…
Many of you have shown interest in enabling auto-completion in Jupyter Notebooks so, in the interest of knowledge sharing, we wanted to demonstrate just how simple it is. Access the Jupyter Menu You h…
In many situations, an existing project can serve as a useful template for a new project. Fortunately, it is very easy to duplicate a Dataiku DSS project so you never need to manually replicate a Flow…
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Although Jupyter notebooks are integrated into the Dataiku DSS interface, some developers favor writing code in an external IDE. DSS has integrations with a number of popular IDEs, including VSCode, t…
In this post, we will show how to set up a sample CI/CD (continuous integration / continuous deployment) pipeline built on Jenkins for our Dataiku DSS project. It follows our blog post Continuous inte…
Greetings fellow Linguists, You can start by installing NLTK (Natural Language Toolkit) as any other Python package in DSS, by creating a code environment and adding "nltk" to your package requirement…
Greetings fellow Linguists, To use spaCy models in DSS, you can start by installing it like any other Python package in DSS: by creating a code environment and adding "spacy" to your package requireme…
A common requirement when you have a column of numbers is to format all numbers so that they have the same length, adding leading zeros if needed. This can be done in the DSS preparation recipe using …
React webapps are not natively supported by DSS, but it’s still possible to integrate a React application into Dataiku DSS with the help of DSS dev plugin and a visual webapp. In this article, I'll di…
This article applies both to: * Bokeh webapps * Usage of the Bokeh library in a Jupyter notebook Add your image to the "Static Web Resources" * In the global menu of DSS, select "Global Shared Code". …
While adding a "web content" insight to a Dataiku DSS dashboard, you may see either a blank insight, or the "unhappy face" like this: An issue can be that you are trying to embed a non-secure (http://…
When working with large amounts of disparate, user-entered text data, we often need to standardize or collapse entries into a resolved form. For example, how can we get a computer to recognize that st…
