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Often times, people want to keep a map config as template, then load it with different datasets. To match a config with a different dataset, you need to make sure `data.id` in the new dataset matches the old one.
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An instance of the provider is added to array of cloud providers in the file `src/cloud-providers/providers.js` then passed to kepler.gl demo app. An example provider: [Dropbox Provider](https://github.com/keplergl/kepler.gl/blob/master/examples/demo-app/src/cloud-providers/dropbox-provider.js)
# Tutorial: Spatial Data Analysis using Kepler.gl AI Assistant
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This tutorial will guide you through the process of using Kepler.gl AI Assistant to perform spatial data analysis.
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The spatial data analysis tools are powered by [Geoda](https://geodacenter.github.io/geoda-lib/), which is a free and open source software tool that serves as an introduction to spatial data science for students and researchers. To make it easier for users to go through the spatial data analysis features, we will try to replicate the [Geoda workbook](https://geodacenter.github.io/documentation.html) using Kepler.gl AI Assistant.
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## Table of Contents
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#### [Get Started](./get-started.md)
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#### [Spatial Data Wrangling - Basic Operations](./spatial-data-wragling.md)
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#### [Spatial Data Wrangling - GIS Operations](./spatial-data-gis.md)
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#### [Basic Mapping](./basic-mapping.md)
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#### [Rate Mapping](./rate-mapping.md)
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#### [Exploratory Data Analysis](./exploratory-data-analysis.md)
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-[Univariate and Bivariate Analysis](./univariate-and-bivariate-analysis.md)
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