sample time series datasets R and python
<p>Since I am very lazy I don't want to spend time downloading datasets, loading them and perform pre-processing to test some sample functions on different timeseries. What are some sample timeseries datasets available with R and python? (which can be imported easily). For eg: there is the iris dataset (which can be easily loaded in my environment using <code>data(iris)</code>).</p>

<p>The python scikit package has access to the iris and other datasets:</p>

<p><a href="http://scikit-learn.org/stable/auto_examples/datasets/plot_iris_dataset.html" rel="nofollow">http://scikit-learn.org/stable/auto_examples/datasets/plot_iris_dataset.html</a>
<a href="http://scikit-learn.org/stable/modules/classes.html#module-sklearn.datasets" rel="nofollow">http://scikit-learn.org/stable/modules/classes.html#module-sklearn.datasets</a></p>

<p>Also, the python statsmodels packages has a datasets module for accessing R datasets:</p>

<p><a href="http://statsmodels.sourceforge.net/0.6.0/datasets/index.html" rel="nofollow">http://statsmodels.sourceforge.net/0.6.0/datasets/index.html</a></p>

python time-series