# DataTable with Core Components as Input Parameters

**URL:** <https://community.plotly.com/t/datatable-with-core-components-as-input-parameters/39533>\
**Category:** Dash Python\
**Created:** [May 16, 2020, 12:05am UTC](https://community.plotly.com/t/datatable-with-core-components-as-input-parameters/39533 "2020-05-16T00:05:25Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![WindyMiggy](https://sea2.discourse-cdn.com/flex024/user_avatar/community.plotly.com/windymiggy/32/10752_2.png) [@WindyMiggy](https://community.plotly.com/u/WindyMiggy)\
**Post date:** [May 16, 2020, 12:05am UTC](https://community.plotly.com/t/datatable-with-core-components-as-input-parameters/39533/1 "2020-05-16T00:05:25Z")

</div>

I am very impressed by the [SVM Explorer dashboard](https://github.com/plotly/dash-sample-apps/tree/master/apps/dash-svm).

It inspired me to create a similar dashboard for a project that interests me, but there is a key difference. Instead of the main graph (contour plot), I am trying to insert a [DataTable](https://dash.plotly.com/datatable) that is linked by callbacks to the core components on the left side of the app.

I completed [Udemy’s course on Plotly and Dash](https://www.udemy.com/course/interactive-python-dashboards-with-plotly-and-dash/), and learned the basics, but the course did not cover data-tables. [sigh]

I have spent a couple of weeks trying to understand it, but I am stuck. I’m not good enough with Dash to know how to replace all of the scikit-learn (which generates the dataset) and model generation code with new code that creates a DataTable from a csv and then changes the core components from input parameters (for scikit-learn functions) to DataTable filters.

For the experts on here, does this sound like a challenge for only the most advanced Dash users, or something that a new Dash user could accomplish?