# Data Datasets can contain data in one of two formats, available on the corresponding tab of the dataset page. * **Tables** contain tabular data which can be quickly viewed and analyzed on Redivis using transforms and notebooks in a workflow. * **Files** can be any type of data with a basic inspection tool and available for analysis in notebooks. ## Tables All datasets that contain data will have at least one table, displayed on the **Tables** tab of the dataset page. Tables are created by data editors when they [upload tabular data](/reference/datasets/create-and-edit-datasets/import-sources.md), and users' access to these tables will be governed by the dataset's [access configuration](/reference/data-access/configuring-access.md). {% embed url="" %} Embedded view of a table with 2.7B records. Click around to interact! {% endembed %} #### Working with tables Tables can be explored from the dataset page, including the ability to view [variables and summary statistics](/reference/tables/variables.md), [cell contents](/reference/tables/cells.md), and run [one-off queries](/reference/tables/queries.md) against the table. These tables are then further utilized from within a [workflow](/reference/workflows.md). Learn more about [tables](/reference/tables.md) on Redivis. *For editors: How to import* [*tabular*](/reference/datasets/create-and-edit-datasets/import-tabular-data.md) *or* [*geospatial*](/reference/datasets/create-and-edit-datasets/import-geospatial-data.md) *data.* ## Non-tabular files Files are data entities uploaded to [datasets](/reference/organizations/datasets.md) on Redivis. Files are used to store non-tabular (a.k.a. unstructured) data of any file type. You can view a dataset's files by clicking on the **Files** tab of any dataset or [dataset node](/reference/workflows/data-sources.md) in a workflow.
#### Inspecting files You can inspect an individual file by clicking on its name to launch the file viewer. Any file can be downloaded or referenced within a notebook, and many file types can be previewed directly within Redivis, including: * 3D models * Audio files * CIF + PDB files (molecular + protein structures) * Documents + spreadsheets * FITS files (common in astronomy) * DICOM * Geospatial (shapefiles, geojson, etc) * HDF5 * HTML * Images * NIFTI (multi-dimensional raster) * PDFs * Videos * Text/code * TIFFs * ZIPs * TEI If you have a file type that you think should be supported that isn't, please [let us know](https://redivis.com/contact)!

View files in Redivis

{% hint style="info" %} You can view [example files](https://redivis.com/datasets/yz1s-d09009dbb/files) on the Redivis Demo organization. {% endhint %} #### Folders and index tables All files are assigned to a "folder" within the dataset. You can click on the folder name in the right grey bar to filter this dataset's files by the folder they are in. Each folder has a corresponding index table that is present on the **Tables** tab of the dataset. These will match the folder name and have a **File index** label. In these index tables, each row of the table represents a file in that folder. | Variable name | Description | | ------------- | --------------------------------------------------------------------------------------------------------------------------------- | | file\_id | A unique, system generated identifier for the file. Use the file\_id to reference and download specific file(s) in your analysis. | | file\_name | The name of the file | | size | Size of the file in bytes | | added\_at | Timestamp for when the file was added to this folder | | md5\_hash | MD5 checksum of the file contents, encoded as a base64 string |

Yes, Redivis supports cat images

#### Working with files By representing files within an index table, we can query and subset the files [within a workflow](/reference/workflows.md), while joining them with other tabular metadata. In this way, file index tables behave like any other tabular metadata on Redivis. To do deeper analysis of files, we can [load these files in a notebook ](/reference/workflows/notebooks/notebook-concepts.md)for further analysis. Consult the documentation for your preferred programming language to learn more: [Working with unstructured data files in Python](/reference/workflows/notebooks/python-notebooks.md#working-with-non-tabular-files) [Working with unstructured data files in R](/reference/workflows/notebooks/r-notebooks.md#working-with-unstructured-data-files) *For editors:* [*How to import files*](/reference/datasets/create-and-edit-datasets/import-files.md) --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.redivis.com/reference/datasets/data.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.