Question: I have been looking at wind speed data from various locations. And I'd like to export this to excel. That part works. But the data are difficult to work with in excel. This is what the raw export looks like.

Here's what the initial query looks like in Mathematica.
[![enter image description here](https://i.stack.imgur.com/0rz4I.png)](https://i.stack.imgur.com/0rz4I.png)

I'm thinking there must be some modifier within Mathematica that allows me to export the text and numbers in a row and column format that is more typical (Column A Date, Column B Time, Column C wind speed). I tried the DATASET, and that folds the large file together, but still with only a dozen rows and thousands of columns of information mashed together.

[![enter image description here](https://i.stack.imgur.com/LCaeF.png)](https://i.stack.imgur.com/LCaeF.png)
All the data are on a single row. I have to copy, paste, transpose to get the information to look something like the image below. Also, if its a large data set, XLS/CSV format only accepts a limited number of columns. There must be a switch somewhere in Mathematica that lets me export a more workable format.

Ultimately, this is what I want to see, and work with:

[![enter image description here](https://i.stack.imgur.com/VI1C0.png)](https://i.stack.imgur.com/VI1C0.png)

Answer: 
To get output that looks a bit more reasonable, modify the second parameter to `TimeSeriesModelFit`.

Load the data:

```
ds = SemanticImport["https://textbin.net/raw/ikfqPWq6Iy"]

ts = TimeSeriesResample@TimeSeries[Values@Normal@ds]

```

Now, we can get output that has the repetition you were expecting with, for instance, an `"ARMA"` (auto-regressive moving-average) model:

```
tsm = TimeSeriesModelFit[ts, {"ARMA", {100, 5}}];
DateListPlot[{tsm["TemporalData"], TimeSeriesForecast[tsm, {160}]}]

```

[![enter image description here](https://i.stack.imgur.com/jxFXc.png)](https://i.stack.imgur.com/jxFXc.png)

Modifying the parameters of the model (above, I picked `100` and `5` for the autoregressive order and moving average order respectively) will give different output. For instance, here's `{20,30}`:

[![enter image description here](https://i.stack.imgur.com/1prOI.png)](https://i.stack.imgur.com/1prOI.png)

There's a large list of models and their parameters in the documentation for `TimeSeriesModelFit`.

I'm not qualified to give you a good explanation of these different models or their parameters, but I hope this is a good start for you!
`forecast = TimeSeriesForecast[tsm, {30}]` returns a `TimeSeries` object, so you can see what the value is on a given date by `forecast[date_DateObject]` or print all the values `forecast["Values"]`.