Explore data

Once our data is loaded, we can explore what variables it has and the meta data for the variables. We assume that the data has been loaded into a variable called dataset. For more information on the API endpoints used in these examples, refer to the Python SDK API reference.

variables - listing available variables by type

Use the variables method to get a list of variables. It returns a dictionary with the keys keys single, delimited set, array, int, float, string, date. These all have a list of strings that are the names of variables.

dataset.variables()

meta - explore answer labels and codes

Use the meta method to explore answer codes and labels.

dataset.meta(variable='q1')

Other methods to explore data

Other methods to explore the data include get_variable_text, find, values and other methods in the DataSet class.

dataset.get_variable_text(name='locality')

dataset.find(str_tags=['q2'])

dataset.values(name='locality')

Pandas dataframe

The data can also be accessed as a pandas dataframe.

df = dataset.get_dataframe()
df.head()