Assessment 3 data: @kyunwang

[kyunwang]

Class 4 - Source

For Assesment 3 I have chosen the dataset from FiveThirtyEight about police killing in us

The data

The data format is CSV and has 34 columns and 467 rows. Not all of the columns will be relevant for me though.

Header	Description	Source
name	Name of deceased	Guardian
age	Age of deceased	Guardian
gender	Gender of deceased	Guardian
raceethnicity	Race/ethnicity of deceased	Guardian
month	Month of killing	Guardian
day	Day of incident	Guardian
year	Year of incident	Guardian
streetaddress	Address/intersection where incident occurred	Guardian
city	City where incident occurred	Guardian
state	State where incident occurred	Guardian
latitude	Latitude, geocoded from address
longitude	Longitude, geocoded from address
state_fp	State FIPS code	Census
county_fp	County FIPS code	Census
tract_ce	Tract ID code	Census
geo_id	Combined tract ID code
county_id	Combined county ID code
namelsad	Tract description	Census
lawenforcementagency	Agency involved in incident	Guardian
cause	Cause of death	Guardian
armed	How/whether deceased was armed	Guardian
pop	Tract population	Census
share_white	Share of pop that is non-Hispanic white	Census
share_bloack	Share of pop that is black (alone, not in combination)	Census
share_hispanic	Share of pop that is Hispanic/Latino (any race)	Census
p_income	Tract-level median personal income	Census
h_income	Tract-level median household income	Census
county_income	County-level median household income	Census
comp_income	h_income / county_income	Calculated from Census
county_bucket	Household income, quintile within county	Calculated from Census
nat_bucket	Household income, quintile nationally	Calculated from Census
pov	Tract-level poverty rate (official)	Census
urate	Tract-level unemployment rate	Calculated from Census
college	Share of 25+ pop with BA or higher	Calculated from Census

Why I chose this dataset and how it can be used to assessment 3's goals

The reason I chose this dataset is that such controversial subjects interest me. With this dataset, I would also like to get more insight into whether the subjects introduced in the news were correct or not. E.g. the conduct of white policemen against black people.

the dataset is very versatile as it contains many types of data:

• categorical With this set, we can put data against each other and make comparisons for clarification.
• topographical Which can be used to visualize a map. To indicate the location of happening.
• numerical Can and will be used with the categorical data to make comparisons and indicate the amount.
• sequential(date) Can be used to set a timeline to indicate a 'story'. Say when each person has been killed sequentially.

The data can be filtered by date which will affect the locations plotted on a map with the topographical data. The categorical and numerical data also function as filters and/or indicators. With topoJSON or geoJSON I can plot the map of us as a starter and continue from there.

[Razpudding]

Sounds interesting! Go ahead!