> For the complete documentation index, see [llms.txt](https://developer-mina.gitbook.io/setify/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://developer-mina.gitbook.io/setify/datasets/human.md). # Human ### `daily_female_births()` A time-series dataset depicting the total number of female births recording in California, The USA during the year 1959. {% tabs %} {% tab title="Data" %} ``` birth date 0 35 1959-01-01 1 32 1959-01-02 2 30 1959-01-03 3 31 1959-01-04 4 44 1959-01-05 ... ... ... 360 37 1959-12-27 361 52 1959-12-28 362 48 1959-12-29 363 55 1959-12-30 364 50 1959-12-31 ``` {% endtab %} {% tab title="Information" %} ``` [365 rows x 2 columns] Int64Index: 365 entries, 0 to 364 Data columns (total 2 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 birth 365 non-null int64 1 date 365 non-null object dtypes: int64(1), object(1) memory usage: 8.6+ KB ``` {% endtab %} {% endtabs %} ### `occupancy_detection()` Experimental data used for binary classification (room occupancy) from Temperature, Humidity, Light, and CO2. Ground-truth occupancy was obtained from time stamped pictures that were taken every minute. [Occupancy Detection Data Set, UCI](http://archive.ics.uci.edu/ml/datasets/Occupancy+Detection+) {% tabs %} {% tab title="Data" %} ``` co2 date humidity ... light occupancy temperature 0 749.2 2015-02-02 02:02:00 26.272 ... 585.2 1 23.7 1 760.4 2015-02-02 02:02:59 26.29 ... 578.4 1 23.718 2 769.667 2015-02-02 02:02:00 26.23 ... 572.667 1 23.73 3 774.75 2015-02-02 02:02:00 26.125 ... 493.75 1 23.7225 4 779 2015-02-02 02:02:00 26.2 ... 488.6 1 23.754 ... ... ... ... ... ... ... ... 20555 1505.25 2015-02-18 09:02:00 27.7175 ... 429.75 1 20.815 20556 1514.5 2015-02-18 09:02:00 27.745 ... 423.5 1 20.865 20557 1521.5 2015-02-18 09:02:59 27.745 ... 423.5 1 20.89 20558 1632 2015-02-18 09:02:59 28.0225 ... 418.75 1 20.89 20559 1864 2015-02-18 09:02:00 28.1 ... 409 1 21 ``` {% endtab %} {% tab title="Information" %} ``` [20560 rows x 7 columns] Int64Index: 20560 entries, 0 to 20559 Data columns (total 7 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 co2 20560 non-null float64 1 date 20560 non-null object 2 humidity 20560 non-null float64 3 humidity_ratio 20560 non-null float64 4 light 20560 non-null float64 5 occupancy 20560 non-null int64 6 temperature 20560 non-null float64 dtypes: float64(5), int64(1), object(1) memory usage: 1.3+ MB ``` {% endtab %} {% endtabs %} ### `country_birth_rate()` [Birth rate, crude (per 1,000 people)](https://data.worldbank.org/indicator/SP.DYN.CBRT.IN) **Source of data:** ( 1 ) United Nations Population Division. World Population Prospects: 2019 Revision. ( 2 ) Census reports and other statistical publications from national statistical offices, ( 3 ) Eurostat: Demographic Statistics, ( 4 ) United Nations Statistical Division. Population and Vital Statistics Report ( various years ), ( 5 ) U.S. Census Bureau: International Database, and ( 6 ) Secretariat of the Pacific Community: Statistics and Demography Programme. {% tabs %} {% tab title="Data" %} ``` 1960 1961 ... indicator_code indicator_name 0 35.679 34.529 ... SP.DYN.CBRT.IN Birth rate, crude (per 1,000 people) 1 51.279 51.373 ... SP.DYN.CBRT.IN Birth rate, crude (per 1,000 people) 2 49.08 48.779 ... SP.DYN.CBRT.IN Birth rate, crude (per 1,000 people) 3 40.924 40.368 ... SP.DYN.CBRT.IN Birth rate, crude (per 1,000 people) 4 NaN NaN ... SP.DYN.CBRT.IN Birth rate, crude (per 1,000 people) ... ... ... ... ... ... 258 48.138 47.774 ... SP.DYN.CBRT.IN Birth rate, crude (per 1,000 people) 259 NaN NaN ... SP.DYN.CBRT.IN Birth rate, crude (per 1,000 people) 260 53.504 53.786 ... SP.DYN.CBRT.IN Birth rate, crude (per 1,000 people) 261 41.075 40.882 ... SP.DYN.CBRT.IN Birth rate, crude (per 1,000 people) 262 49.672 49.806 ... SP.DYN.CBRT.IN Birth rate, crude (per 1,000 people) ``` {% endtab %} {% tab title="Information" %} ``` [263 rows x 64 columns] Int64Index: 263 entries, 0 to 262 Data columns (total 64 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 1960 238 non-null float64 1 1961 237 non-null float64 2 1962 238 non-null float64 3 1963 237 non-null float64 4 1964 237 non-null float64 5 1965 237 non-null float64 6 1966 238 non-null float64 7 1967 237 non-null float64 8 1968 237 non-null float64 9 1969 237 non-null float64 10 1970 241 non-null float64 11 1971 239 non-null float64 12 1972 240 non-null float64 13 1973 241 non-null float64 14 1974 241 non-null float64 15 1975 241 non-null float64 16 1976 243 non-null float64 17 1977 243 non-null float64 18 1978 243 non-null float64 19 1979 243 non-null float64 20 1980 243 non-null float64 21 1981 242 non-null float64 22 1982 243 non-null float64 23 1983 243 non-null float64 24 1984 244 non-null float64 25 1985 244 non-null float64 26 1986 244 non-null float64 27 1987 246 non-null float64 28 1988 245 non-null float64 29 1989 246 non-null float64 30 1990 247 non-null float64 31 1991 248 non-null float64 32 1992 249 non-null float64 33 1993 246 non-null float64 34 1994 248 non-null float64 35 1995 248 non-null float64 36 1996 251 non-null float64 37 1997 248 non-null float64 38 1998 247 non-null float64 39 1999 247 non-null float64 40 2000 247 non-null float64 41 2001 248 non-null float64 42 2002 250 non-null float64 43 2003 247 non-null float64 44 2004 249 non-null float64 45 2005 251 non-null float64 46 2006 253 non-null float64 47 2007 252 non-null float64 48 2008 250 non-null float64 49 2009 250 non-null float64 50 2010 252 non-null float64 51 2011 250 non-null float64 52 2012 250 non-null float64 53 2013 249 non-null float64 54 2014 252 non-null float64 55 2015 249 non-null float64 56 2016 250 non-null float64 57 2017 250 non-null float64 58 2018 206 non-null float64 59 2019 0 non-null object 60 country_code 263 non-null object 61 country_name 263 non-null object 62 indicator_code 263 non-null object 63 indicator_name 263 non-null object dtypes: float64(59), object(5) memory usage: 133.6+ KB None Process finished with exit code 0 ``` {% endtab %} {% endtabs %} ### `country_death_rate()` [Death rate, crude (per 1,000 people)](https://data.worldbank.org/indicator/SP.DYN.CDRT.IN) **Source of data:** ( 1 ) United Nations Population Division. World Population Prospects: 2019 Revision. ( 2 ) Census reports and other statistical publications from national statistical offices, ( 3 ) Eurostat: Demographic Statistics, ( 4 ) United Nations Statistical Division. Population and Vital Statistics Report ( various years ), ( 5 ) U.S. Census Bureau: International Database, and ( 6 ) Secretariat of the Pacific Community: Statistics and Demography Programme. {% tabs %} {% tab title="Data" %} ``` 1960 1961 ... indicator_code indicator_name 0 6.388 6.241 ... SP.DYN.CDRT.IN Death rate, crude (per 1,000 people) 1 32.219 31.649 ... SP.DYN.CDRT.IN Death rate, crude (per 1,000 people) 2 27.097 26.859 ... SP.DYN.CDRT.IN Death rate, crude (per 1,000 people) 3 11.326 10.719 ... SP.DYN.CDRT.IN Death rate, crude (per 1,000 people) 4 NaN NaN ... SP.DYN.CDRT.IN Death rate, crude (per 1,000 people) ... ... ... ... ... ... 258 10.822 10.58 ... SP.DYN.CDRT.IN Death rate, crude (per 1,000 people) 259 NaN NaN ... SP.DYN.CDRT.IN Death rate, crude (per 1,000 people) 260 36.234 36.031 ... SP.DYN.CDRT.IN Death rate, crude (per 1,000 people) 261 17.398 17.104 ... SP.DYN.CDRT.IN Death rate, crude (per 1,000 people) 262 18.471 18.191 ... SP.DYN.CDRT.IN Death rate, crude (per 1,000 people) ``` {% endtab %} {% tab title="Information" %} ``` [263 rows x 64 columns] Int64Index: 263 entries, 0 to 262 Data columns (total 64 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 1960 238 non-null float64 1 1961 237 non-null float64 2 1962 238 non-null float64 3 1963 237 non-null float64 4 1964 237 non-null float64 5 1965 237 non-null float64 6 1966 238 non-null float64 7 1967 237 non-null float64 8 1968 237 non-null float64 9 1969 237 non-null float64 10 1970 241 non-null float64 11 1971 240 non-null float64 12 1972 240 non-null float64 13 1973 240 non-null float64 14 1974 240 non-null float64 15 1975 240 non-null float64 16 1976 242 non-null float64 17 1977 243 non-null float64 18 1978 243 non-null float64 19 1979 243 non-null float64 20 1980 243 non-null float64 21 1981 242 non-null float64 22 1982 243 non-null float64 23 1983 243 non-null float64 24 1984 244 non-null float64 25 1985 244 non-null float64 26 1986 243 non-null float64 27 1987 245 non-null float64 28 1988 244 non-null float64 29 1989 245 non-null float64 30 1990 246 non-null float64 31 1991 247 non-null float64 32 1992 248 non-null float64 33 1993 245 non-null float64 34 1994 247 non-null float64 35 1995 247 non-null float64 36 1996 250 non-null float64 37 1997 247 non-null float64 38 1998 246 non-null float64 39 1999 246 non-null float64 40 2000 246 non-null float64 41 2001 247 non-null float64 42 2002 249 non-null float64 43 2003 246 non-null float64 44 2004 249 non-null float64 45 2005 250 non-null float64 46 2006 252 non-null float64 47 2007 251 non-null float64 48 2008 250 non-null float64 49 2009 250 non-null float64 50 2010 251 non-null float64 51 2011 250 non-null float64 52 2012 250 non-null float64 53 2013 249 non-null float64 54 2014 252 non-null float64 55 2015 250 non-null float64 56 2016 251 non-null float64 57 2017 250 non-null float64 58 2018 206 non-null float64 59 2019 0 non-null object 60 country_code 263 non-null object 61 country_name 263 non-null object 62 indicator_code 263 non-null object 63 indicator_name 263 non-null object dtypes: float64(59), object(5) memory usage: 133.6+ KB ``` {% endtab %} {% endtabs %} ### `titanic()` The original titanic dataset with imputed attributes ``` ```