# Dash Table Experiments For Large Dataset

**URL:** <https://community.plotly.com/t/dash-table-experiments-for-large-dataset/9507>\
**Category:** Dash Python\
**Created:** [April 7, 2018, 7:12am UTC](https://community.plotly.com/t/dash-table-experiments-for-large-dataset/9507 "2018-04-07T07:12:19Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![saadmahmud](https://avatars.discourse-cdn.com/v4/letter/s/0ea827/32.png) [@saadmahmud](https://community.plotly.com/u/saadmahmud)\
**Post date:** [April 7, 2018, 7:12am UTC](https://community.plotly.com/t/dash-table-experiments-for-large-dataset/9507/1 "2018-04-07T07:12:20Z")

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I want load data sets around 2000\*2000 size in a data table. But when i do so the table becomes extreme slow. is there any steps i should follow to make it faster?

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**Author:** ![chriddyp](https://sea2.discourse-cdn.com/flex024/user_avatar/community.plotly.com/chriddyp/32/16855_2.png) [@chriddyp](https://community.plotly.com/u/chriddyp)\
**Post date:** [April 7, 2018, 6:15pm UTC](https://community.plotly.com/t/dash-table-experiments-for-large-dataset/9507/2 "2018-04-07T18:15:03Z")

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> [@saadmahmud](#):
>
> I want load data sets around 2000\*2000 size in a data table

One option is to load only a subset of the data and allow the end user to display / filter through the dataset through your own filtering and sorting controls.