DOC: replace totbill with total_bill

CLN: whoops wrong filename

Author: cpcloud

doc/source/rplot.rst

@@ -30,7 +30,7 @@ Trellis plotting interface
    .. code-block:: python
 
       from pandas import read_csv
-      tips_data = read_csv('tips_data.csv')
+      tips_data = read_csv('tips.csv')
 
    from the directory where you downloaded the file.
 
@@ -50,7 +50,7 @@ RPlot is a flexible API for producing Trellis plots. These plots allow you to ar
 
    plt.figure()
 
-   plot = rplot.RPlot(tips_data, x='totbill', y='tip')
+   plot = rplot.RPlot(tips_data, x='total_bill', y='tip')
    plot.add(rplot.TrellisGrid(['sex', 'smoker']))
    plot.add(rplot.GeomHistogram())
 
@@ -63,7 +63,7 @@ In the example above, data from the tips data set is arranged by the attributes
 
    plt.figure()
 
-   plot = rplot.RPlot(tips_data, x='totbill', y='tip')
+   plot = rplot.RPlot(tips_data, x='total_bill', y='tip')
    plot.add(rplot.TrellisGrid(['sex', 'smoker']))
    plot.add(rplot.GeomDensity())
 
@@ -76,7 +76,7 @@ Example above is the same as previous except the plot is set to kernel density e
 
    plt.figure()
 
-   plot = rplot.RPlot(tips_data, x='totbill', y='tip')
+   plot = rplot.RPlot(tips_data, x='total_bill', y='tip')
    plot.add(rplot.TrellisGrid(['sex', 'smoker']))
    plot.add(rplot.GeomScatter())
    plot.add(rplot.GeomPolyFit(degree=2))
@@ -90,7 +90,7 @@ The plot above shows that it is possible to have two or more plots for the same
 
    plt.figure()
 
-   plot = rplot.RPlot(tips_data, x='totbill', y='tip')
+   plot = rplot.RPlot(tips_data, x='total_bill', y='tip')
    plot.add(rplot.TrellisGrid(['sex', 'smoker']))
    plot.add(rplot.GeomScatter())
    plot.add(rplot.GeomDensity2D())
@@ -104,7 +104,7 @@ Above is a similar plot but with 2D kernel desnity estimation plot superimposed.
 
    plt.figure()
 
-   plot = rplot.RPlot(tips_data, x='totbill', y='tip')
+   plot = rplot.RPlot(tips_data, x='total_bill', y='tip')
    plot.add(rplot.TrellisGrid(['sex', '.']))
    plot.add(rplot.GeomHistogram())
 
@@ -117,7 +117,7 @@ It is possible to only use one attribute for grouping data. The example above on
 
    plt.figure()
 
-   plot = rplot.RPlot(tips_data, x='totbill', y='tip')
+   plot = rplot.RPlot(tips_data, x='total_bill', y='tip')
    plot.add(rplot.TrellisGrid(['.', 'smoker']))
    plot.add(rplot.GeomHistogram())
 
@@ -130,11 +130,11 @@ If the first grouping attribute is not specified the plots will be arranged in a
 
    plt.figure()
 
-   plot = rplot.RPlot(tips_data, x='totbill', y='tip')
+   plot = rplot.RPlot(tips_data, x='total_bill', y='tip')
    plot.add(rplot.TrellisGrid(['.', 'smoker']))
    plot.add(rplot.GeomHistogram())
 
-   plot = rplot.RPlot(tips_data, x='tip', y='totbill')
+   plot = rplot.RPlot(tips_data, x='tip', y='total_bill')
    plot.add(rplot.TrellisGrid(['sex', 'smoker']))
    plot.add(rplot.GeomPoint(size=80.0, colour=rplot.ScaleRandomColour('day'), shape=rplot.ScaleShape('size'), alpha=1.0))