Wolfram Function Repository
Instant-use add-on functions for the Wolfram Language
Function Repository Resource:
Retrieve example data as a dataset
ResourceFunction["ExampleDataset"][arg] returns the ExampleData collection specified by arg as a Dataset. |
Get an example dataset:
In[1]:= |
![]() |
Out[1]= |
![]() |
Get another dataset:
In[2]:= |
![]() |
Out[2]= |
![]() |
Find homes in Boston with an age greater than 98 years:
In[3]:= |
![]() |
Out[3]= |
![]() |
Cross tabulate odor and edibility for mushrooms (we can see that odor is a good indicator of edibility):
In[4]:= |
![]() |
Out[4]= |
![]() |
If an unknown dataset name is specified, then the result is a Failure:
In[5]:= |
![]() |
Out[5]= |
![]() |
The expected data types for the "Statistics" datasets in ExampleData are "MultivariateSample", "TimeSeries" and "EventSeries". ExampleData has the following data types:
In[6]:= |
![]() |
Out[6]= |
![]() |
A Failure is returned for other data types:
In[7]:= |
![]() |
Out[7]= |
![]() |
Here is a summary of the successes and failures of for different data types in the "Statistics" example data collection:
In[8]:= |
![]() |
Out[8]= |
![]() |
Some "MachineLearnining" example data have data shapes and variable names that do not match. In those cases, ExampleDataset returns Failure:
In[9]:= |
![]() |
Out[9]= |
![]() |
Compare the length of the variable names:
In[10]:= |
![]() |
Out[10]= |
![]() |
With the dimensions of the data:
In[11]:= |
![]() |
Out[11]= |
![]() |
Here is an association that shows the successes and failures over the "MachineLearning" datasets:
In[12]:= |
![]() |
Out[12]= |
![]() |
Summaries for all "Statistics" datasets in ExampleData that have six columns:
In[13]:= |
![]() |
Out[13]= |
![]() |
This work is licensed under a Creative Commons Attribution 4.0 International License