Data exploration and visualisation in Dataiku

READ DATASHEET
  • Drag and drop insights
    on your data
  • Visualise your datasets
    with builtin and custom charts
  • Python, R, and SQL
    interactive notebooks
  • Drag and drop insights
    on your data
  • Visualise your datasets
    with builtin and custom charts
  • Python, R, and SQL
    interactive notebooks
Product demonstration of a dataset automatic exploration

Get instant insights from your datasets

  • Create automatic reports on your datasets and point potential data quality issues.
  • Generate univariate and multivariate statistics to produce detailed datasets audit report.
  • Filter and search your data as easily as you would in Excel.
  • Leverage your business and domain knowledge by using custom semantic meanings in your analyses.
  • Scale your analytics by transparently running on Spark, Hadoop or SQL engines to produce insights.
Product demonstration of graph building by dragging and dropping data

Create data visualisations in one click

  • Drag and drop data to create graphs from over 25 built-in chart formats, for enhanced data exploration and immediate visual insights.
  • Develop your own custom data visualisation applications using HTML, Javascript, Bokeh (Python) or Shiny (R).
  • Publish and share all your insights with business stakeholders thanks to Dataiku dashboards.
Laptopscreen showing an interactive notebook with code

Analyse interactively your data with Python, R and SQL notebooks

  • Discover and plot data with interactive (REPL) notebooks.
  • Integrates Jupyter for advanced code coloration and completion (Python and R).
  • Create your own updatable custom reports.
  • Use predefined Python-based Jupyter Notebooks for your advanced analytics tasks (topic modeling, time series forecasting...)