这个例子说明了如何分析连接到ThingSpeak、IoT分析平台的气象站数据。

This example illustrates how to analyze data from a weather station connected to ThingSpeak, an IoT analytics platform. 

在MATLAB中对数据进行可视化分析。

The data is visualized and analyzed in MATLAB. 

该示例显示了如何可视化风速和方向，计算和绘制露点，并验证压力趋势。

The example shows how to visualize wind speed and direction, calculate and plot dew point, and verify pressure trends. 

还演示了一些删除异常数据和填充缺失数据的技术。

It also demonstrates some techniques to remove outlier data and fill in missing data.

如果使用的是MATLAB版本R2014b到R2018b，则此示例要求用户首先安装MATLAB对ThingSpeak的支持，该支持包可在此处获得：

http://www.mathworks.com/matlabcentral/fileexchange/52244

If using MATLAB versions R2014b through R2018b, this example requires the user to first install the MATLAB Support for ThingSpeak which is available here:

http://www.mathworks.com/matlabcentral/fileexchange/52244

如果使用R2019a或更高版本，则不需要下载ThingSpeak支持，因为所需的函数是内置在MATLAB中的。

If using R2019a or higher, there is no need to download the ThingSpeak support as the needed functions are built-in to MATLAB.

关于IoT和ThingSpeak的更多信息，请参考以下网页：

http://www.mathworks.com/thingspeak

www.mathworks.com/solutions/internet-of-things

For more information on IoT andThingSpeak, see the following resource pages:

http://www.mathworks.com/thingspeak

www.mathworks.com/solutions/internet-of-things

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