Discover a dataset

In this example you go through some basic steps to discover a Dataset in the Data Observatory.


In [1]:
from cartoframes.data.observatory import Catalog, Dataset

Catalog().country('usa').categories


Out[1]:
[<Category.get('covid19')>,
 <Category.get('demographics')>,
 <Category.get('environmental')>,
 <Category.get('financial')>,
 <Category.get('geosocial')>,
 <Category.get('housing')>,
 <Category.get('human_mobility')>,
 <Category.get('points_of_interest')>,
 <Category.get('road_traffic')>]

In [2]:
Catalog().country('usa').category('demographics').providers


Out[2]:
[<Provider.get('usa_bls')>,
 <Provider.get('usa_acs')>,
 <Provider.get('ags')>,
 <Provider.get('experian')>,
 <Provider.get('mbi')>]

In [3]:
datasets_acs_df = Catalog().country('usa').category('demographics').provider('usa_acs').datasets.to_dataframe()

In [4]:
datasets_acs_df.head()


Out[4]:
slug name description category_id country_id data_source_id provider_id geography_name geography_description temporal_aggregation time_coverage update_frequency is_public_data lang version category_name provider_name geography_id id
0 acs_sociodemogr_ecbce31e Sociodemographics - United States of America (... The American Community Survey (ACS) is an ongo... demographics usa sociodemographics usa_acs County - United States of America Shoreline clipped TIGER/Line boundaries. More ... 3yrs [2007-01-01, 2010-01-01) yearly True eng 20072009 Demographics American Community Survey carto-do-public-data.carto.geography_usa_count... carto-do-public-data.usa_acs.demographics_soci...
1 acs_sociodemogr_516e1d44 Sociodemographics - United States of America (... The American Community Survey (ACS) is an ongo... demographics usa sociodemographics usa_acs County - United States of America Shoreline clipped TIGER/Line boundaries. More ... 3yrs [2011-01-01, 2014-01-01) yearly True eng 20112013 Demographics American Community Survey carto-do-public-data.carto.geography_usa_count... carto-do-public-data.usa_acs.demographics_soci...
2 acs_sociodemogr_477ca600 Sociodemographics - United States of America (... The American Community Survey (ACS) is an ongo... demographics usa sociodemographics usa_acs County - United States of America Shoreline clipped TIGER/Line boundaries. More ... yearly [2009-01-01, 2010-01-01) yearly True eng 2009 Demographics American Community Survey carto-do-public-data.carto.geography_usa_count... carto-do-public-data.usa_acs.demographics_soci...
3 acs_sociodemogr_5f00d4dc Sociodemographics - United States of America (... The American Community Survey (ACS) is an ongo... demographics usa sociodemographics usa_acs Core-based Statistical Area - United States of... Shoreline clipped TIGER/Line boundaries. More ... 5yrs [2007-01-01, 2012-01-01) yearly True eng 20072011 Demographics American Community Survey carto-do-public-data.carto.geography_usa_cbsa_... carto-do-public-data.usa_acs.demographics_soci...
4 acs_sociodemogr_18e867ac Sociodemographics - United States of America (... The American Community Survey (ACS) is an ongo... demographics usa sociodemographics usa_acs County - United States of America Shoreline clipped TIGER/Line boundaries. More ... 5yrs [2011-01-01, 2016-01-01) yearly True eng 20112015 Demographics American Community Survey carto-do-public-data.carto.geography_usa_count... carto-do-public-data.usa_acs.demographics_soci...

In [5]:
datasets_acs_df[datasets_acs_df['geography_name'].str.contains('Block Groups')]


Out[5]:
slug name description category_id country_id data_source_id provider_id geography_name geography_description temporal_aggregation time_coverage update_frequency is_public_data lang version category_name provider_name geography_id id

In [6]:
dataset = Dataset.get('acs_sociodemogr_b758e778')

In [7]:
dataset.geom_coverage()


Out[7]:
:
StackTrace
    ">
    
    
    In [8]:
    dataset.describe()
    
    
    
    
    Out[8]:
    total_pop households male_pop female_pop median_age male_under_5 male_5_to_9 male_10_to_14 male_15_to_17 male_18_to_19 ... high_school_diploma less_one_year_college masters_degree one_year_more_college employed_pop unemployed_pop pop_in_labor_force not_in_labor_force armed_forces civilian_labor_force
    avg 1.472650e+03 5.448504e+02 7.246883e+02 7.479616e+02 4.011421e+01 4.647734e+01 4.779547e+01 4.855696e+01 2.957191e+01 2.027658e+01 ... 2.318925e+02 6.118515e+01 8.292164e+01 1.441038e+02 6.882278e+02 4.893004e+01 7.418160e+02 4.320162e+02 4.658140e+00 7.371579e+02
    max 5.187200e+04 2.142900e+04 2.865800e+04 2.597700e+04 8.890000e+01 3.174000e+03 2.605000e+03 2.436000e+03 1.996000e+03 3.901000e+03 ... 8.215000e+03 4.037000e+03 7.209000e+03 5.621000e+03 2.334000e+04 1.454000e+03 2.684700e+04 3.414200e+04 2.121400e+04 2.435400e+04
    min 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 3.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 ... 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
    sum 3.244734e+08 1.200485e+08 1.596728e+08 1.648006e+08 8.791270e+06 1.024049e+07 1.053092e+07 1.069870e+07 6.515667e+06 4.467600e+06 ... 5.109357e+07 1.348111e+07 1.827037e+07 3.175082e+07 1.516393e+08 1.078090e+07 1.634465e+08 9.518743e+07 1.026342e+06 1.624202e+08
    range 5.187200e+04 2.142900e+04 2.865800e+04 2.597700e+04 8.590000e+01 3.174000e+03 2.605000e+03 2.436000e+03 1.996000e+03 3.901000e+03 ... 8.215000e+03 4.037000e+03 7.209000e+03 5.621000e+03 2.334000e+04 1.454000e+03 2.684700e+04 3.414200e+04 2.121400e+04 2.435400e+04
    stdev 9.592347e+02 3.286104e+02 4.934121e+02 4.920331e+02 9.405442e+00 5.415445e+01 5.402244e+01 5.378748e+01 3.532671e+01 5.444954e+01 ... 1.627570e+02 5.603385e+01 1.046972e+02 1.159727e+02 4.794299e+02 5.098029e+01 5.128584e+02 3.242465e+02 8.417357e+01 5.031953e+02
    q1 8.160000e+02 3.150000e+02 3.930000e+02 4.120000e+02 3.220000e+01 8.000000e+00 9.000000e+00 1.000000e+01 0.000000e+00 0.000000e+00 ... 1.030000e+02 1.900000e+01 1.300000e+01 6.100000e+01 3.530000e+02 1.100000e+01 3.910000e+02 2.230000e+02 0.000000e+00 3.880000e+02
    q3 1.441000e+03 5.390000e+02 7.090000e+02 7.340000e+02 4.200000e+01 4.200000e+01 4.500000e+01 4.500000e+01 2.700000e+01 1.400000e+01 ... 2.370000e+02 6.000000e+01 6.900000e+01 1.410000e+02 6.770000e+02 4.600000e+01 7.250000e+02 4.200000e+02 0.000000e+00 7.240000e+02
    median 1.107000e+03 4.180000e+02 5.370000e+02 5.610000e+02 3.700000e+01 2.300000e+01 2.500000e+01 2.600000e+01 1.400000e+01 4.000000e+00 ... 1.680000e+02 3.800000e+01 3.500000e+01 9.800000e+01 5.050000e+02 2.700000e+01 5.470000e+02 3.170000e+02 0.000000e+00 5.430000e+02
    interquartile_range 6.250000e+02 2.240000e+02 3.160000e+02 3.220000e+02 9.800000e+00 3.400000e+01 3.600000e+01 3.500000e+01 2.700000e+01 1.400000e+01 ... 1.340000e+02 4.100000e+01 5.600000e+01 8.000000e+01 3.240000e+02 3.500000e+01 3.340000e+02 1.970000e+02 0.000000e+00 3.360000e+02

    10 rows × 151 columns