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Exploratory Data Analysis
Dataiku provides automatic profiling of columns, including the counts and distribution of values, top values, outliers, invalids, and summary statistics.
Data quality indicators and shading for each column provide instant visual cues for missing or invalid values.
Dataiku includes a broad range of statistical tests and analyses, including univariate / bivariate / multivariate analyses, fit curves and distributions, location and distribution tests, and time series-specific analyses.
A smart assistant helps uncover meaningful patterns by automatically exploring your data for interesting relationships, which are visualized through box-plots, 2D and 3D scatterplots, heat maps, correlation matrices, line charts, and more.
Charts and Graphs
With Dataiku, all users (technical or not) can create effective visualizations to understand or share data insights across the team or organization.
Charting options include bar charts, lines, curves, stacked area layouts, pie charts, donut layouts, boxplots, 2D-distribution, lift charts, tables, scatter plots, and more.
Dashboards in Dataiku make it easy for you to share information about data projects with stakeholders across the company, including charts, model reports, interactive web applications, team discussions, wikis, and many other elements. And with automatic dashboard refresh, teams can ensure business users always have the most up-to-date insights at their fingertips.
Dataiku includes special storage formats, transformation processors, and presentation elements for geospatial data.
Geocoding creates geo points or extracts location information like latitude and longitude, and geo joins connect datasets based on geographic information. For analysis and reporting, plot geo data onto visually rich, interactive maps and share them with others.
Integrations with Tableau, PowerBI, and Qlik
For cases where reaching critical stakeholders and business users requires the use of existing BI tools, Dataiku integrates with platforms like Tableau, PowerBI, and Qlik to ensure that everyone has the information they need to create value from AI projects developed in Dataiku.
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