# finance\_umap

## ℹ️ Dataset info

Description: `UMAP transformation of finance data. Uniform Manifold Approximation and Projection (UMAP) is a dimension reduction technique that can be used for visualisation similarly to t-SNE, but also for general non-linear dimension reduction`

Labels: `owner: upgini`  `dataset_type: public`  `dataset_source: markets` &#x20;

Search keys: `DATE` &#x20;

Row count: `6,630`

## ℹ️ Features info:

### f\_financial\_date\_finance\_umap\_0\_3c020a5e

`Datatype`: `FLOAT` `Description`: `Finance data UMAP component 0`

### f\_financial\_date\_finance\_umap\_1\_637bd070

`Datatype`: `FLOAT` `Description`: `Finance data UMAP component 1`

### f\_financial\_date\_finance\_umap\_2\_a414df3b

`Datatype`: `FLOAT` `Description`: `Finance data UMAP component 2`

### f\_financial\_date\_finance\_umap\_3\_67036e7c

`Datatype`: `FLOAT` `Description`: `Finance data UMAP component 3`

### f\_financial\_date\_finance\_umap\_4\_c0717402

`Datatype`: `FLOAT` `Description`: `Finance data UMAP component 4`

***

Need help with Docs? Ask in [![Upgini slack community](https://img.shields.io/badge/slack-@upgini-orange.svg?logo=slack)](https://4mlg.short.gy/join-upgini-community)
