# BGU-Rcourse 2020 — Data

来源：https://www.kaggle.com/competitions/bgurcourse2020/data

本地 Meta Kaggle 快照；不是本次实时页面。

# Dataset Description

<p>This page shows up underneath the data files. We have provided: train, test and an example for a submission file. The train data includes the parameters described below. Your goal is to predict the instant air temperature. The instant air temperature is the value measured at the given time. The test file does not include the instant air temperature it is for you to predict. The test data also includes an id for each observation. The id will be used in the submission file. The submission file will include two columns, the first is the id of the observation and the second is the predicted value for the  instant air temperature</p>

<p>


<ul>
<li><strong>train.csv</strong> - the training set</li>
<li><strong>test.csv</strong> - the test set</li>
<li><strong>submission_example
.csv</strong> - a sample submission file in the correct format</li>

</ul><h2>Data fields</h2>
<ul>

</p><h2>The climate parameters include: </h2>
<ul>

<li>Relative Humidity of Air (%)</li>
<li>Maximum Relative Air Humidity (%)</li>
<li>Minimum Relative Air Humidity (%) </li>
<li>Instant Dew Point (Celsius degrees) </li>
<li>Maximum Dew Point (Celsius degrees)  </li>
<li>Minimum Dew Point Temperature (Celsius degrees) </li>
<li>Instant Air Atmospheric Pressure (millibars)</li>
<li>Maximum Air Atmospheric Pressure (millibars)</li>
<li>Minimum Air Atmospheric Pressure (millibars) </li>
<li>Instant Wind Speed (meters per second)  </li>
<li> Wind Direction (radius degrees)</li>
<li>Wind Gust Intensity (meters per second)  </li>
<li>Solar radiation   </li>
<li>Precipitation (millimeters)   </li>
</strong></ul><strong>

<p>
The data was taken hourly from different weather stations in South America. Therefore information regarding the time, date and location of the station is also available.  </p>
</ul>