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Businesses in
NYC
What types of businesses are
found in the city?
By: Divyanka Sharma
Aim
 To understand what types of businesses are
found in New York City
 What are the concentrations, according to
frequency, in each ZCTA?
 Can we compare neighborhoods?
 What types of business should I open?
Terms and Data Used
 ZCTA: Zip Code Tabulation Area. These are
conversions of zip codes for easier data
analysis. Small differences but mostly the
same as zip codes. Only NYC ZCTAs used.
 NAICS codes: North American Industry
Classification System. These are codes that
define the industry that businesses fall under
Data Sources Used
 ZCTA: downloaded from census bureau
 NAICS codes: dataset bought from Dun and
Bradstreet, a data provider. This contains the
names of all businesses, their NAICS codes,
Zip codes, and other top level information, for
the entire United States. This was bought by
my company.
Cleaning the data
 First step is to extract only NYC data from the
US file
 Convert zip codes to ZCTA’s for easy
comparison. Also useful if want to run more
tests using other census info later.
 Attach descriptions of NAICS code id #’s to
the dataset for readability of data
What do we find?
 The top 10 most common businesses, by
frequency of physical outlets, are the
following:
Example plots of businesses in certain
ZCTAs
Queens
Manhattan
Brooklyn
Queens
The Bronx
Problems with the data
 The data is from 2012, so there could be
some changes
 The NAICS codes themselves are not very
clear. Example: “all other businesses”
category
 This is self reported data, so there can be
biases
Future Potential
 Can layer other information on top of this to
study more trends
 Can analyze what businesses an
entrepreneur should look into starting in
certain ZCTAs
 If time series data available, plot the change
in frequency of businesses

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Data Science Academy Student Demo day--Divyanka Sharma, Businesses in nyc

  • 1. Businesses in NYC What types of businesses are found in the city? By: Divyanka Sharma
  • 2. Aim  To understand what types of businesses are found in New York City  What are the concentrations, according to frequency, in each ZCTA?  Can we compare neighborhoods?  What types of business should I open?
  • 3. Terms and Data Used  ZCTA: Zip Code Tabulation Area. These are conversions of zip codes for easier data analysis. Small differences but mostly the same as zip codes. Only NYC ZCTAs used.  NAICS codes: North American Industry Classification System. These are codes that define the industry that businesses fall under
  • 4. Data Sources Used  ZCTA: downloaded from census bureau  NAICS codes: dataset bought from Dun and Bradstreet, a data provider. This contains the names of all businesses, their NAICS codes, Zip codes, and other top level information, for the entire United States. This was bought by my company.
  • 5. Cleaning the data  First step is to extract only NYC data from the US file  Convert zip codes to ZCTA’s for easy comparison. Also useful if want to run more tests using other census info later.  Attach descriptions of NAICS code id #’s to the dataset for readability of data
  • 6. What do we find?  The top 10 most common businesses, by frequency of physical outlets, are the following:
  • 7.
  • 8. Example plots of businesses in certain ZCTAs
  • 14. Problems with the data  The data is from 2012, so there could be some changes  The NAICS codes themselves are not very clear. Example: “all other businesses” category  This is self reported data, so there can be biases
  • 15. Future Potential  Can layer other information on top of this to study more trends  Can analyze what businesses an entrepreneur should look into starting in certain ZCTAs  If time series data available, plot the change in frequency of businesses