Replaced Transforming_Data references with Sampling_Data in README
@@ -51,7 +51,7 @@ Features
* Includes a rich `library of composable elements <http://www.holoviews.org/Tutorials/Elements>`_ that can be overlaid, nested and positioned with ease.
* Supports `rapid data exploration <http://www.holoviews.org/Tutorials/Exploring_Data>`_ that naturally develops into a `fully reproducible workflow <Tutorials/Exporting>`_.
* You can create complex animated or interactive visualizations with minimal code.
-* Rich semantics for `indexing and slicing of data in arbitrarily high-dimensional spaces <http://www.holoviews.org/Tutorials/Transforming_Data>`_.
+* Rich semantics for `indexing and slicing of data in arbitrarily high-dimensional spaces <http://www.holoviews.org/Tutorials/Sampling_Data>`_.
* Every parameter of every object includes easy-to-access documentation.
* All features `available in vanilla Python 2 or 3 <http://www.holoviews.org/Tutorials/Options>`_, with minimal dependencies.
@@ -67,7 +67,7 @@ Features
**Analysis and data access features**
* Allows you to annotate your data with dimensions, units, labels and data ranges.
-* Easily `slice and access <http://www.holoviews.org/Tutorials/Transforming_Data>`_ regions of your data, no matter how high the dimensionality.
+* Easily `slice and access <http://www.holoviews.org/Tutorials/Sampling_Data>`_ regions of your data, no matter how high the dimensionality.
* Apply any suitable function to collapse your data or reduce dimensionality.
* Helpful textual representation to inform you how every level of your data may be accessed.
* Includes small library of common operations for any scientific or engineering data.
