# Data

Each row of the dataset describes an investment vehicle at a certain date.

Here follows a concise description of the columns of the files:

`X_train`:

* `date`: A sequentially increasing integer representing a date. Time between subsequent dates is a constant, denoting an unknown but fixed frequency at which the data is sampled. The initial training dataset is composed of 268 dates. 
* `id`: A unique identifier representing the investment vehicle at a given date. Note that the same asset has a different `id` at each date.
* `feat_1, ..., feat_n`: Anonymized features describing an investment vehicle at a given date.

`X_test`:

* Same structure as `X_train` but comprises only a few dates. This file is used to simulate the submission process locally via `crunch.test()`, or `crunch test` (if using the CLI). A successful local test usually means no errors during execution on the submission platform.

The dataset is obfuscated.

### Files

* **X\_train.parquet**

<figure><img src="/files/0VZzJsBB4rkD9vsjrVVi" alt=""><figcaption></figcaption></figure>

**y\_train.parquet**

<figure><img src="/files/Vu9THlaymE285Tm9fbAa" alt="" width="375"><figcaption></figcaption></figure>


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