This is a data analytic report exploring the New York Neighborhoods for Italian restaurants. It is the Battle of neighborhoods where some neighborhoods win while others lose. The analysis was done using many libraries and packages in python like Foursquare and Pandas. The report forms part of the IBM Capstone Project for "Applied Data Science" Specialization.
The document analyzes potential locations for a new restaurant in New York City. It clusters the neighborhoods of Manhattan, Brooklyn, Bronx, Queens and Staten Island into two groups based on restaurant data. Neighborhoods in Cluster 0 for Bronx, Queens and Staten Island have the lowest number of existing restaurants, indicating opportunities for a new restaurant. The document recommends further exploring cuisines from other countries in the Bronx, Queens and Staten Island neighborhoods in Cluster 0.
This document explores and compares the process of opening a restaurant in New York City and Toronto. It analyzes data from sources like Wikipedia, Foursquare API, and geospatial datasets on the types and locations of restaurants in each city. The methodology section describes extracting attributes from the data to identify restaurant categories, locations, ratings, and other metrics. The results and discussion sections compare the restaurant landscapes in New York and Toronto and visualize clusters of popular categories. The conclusion finds that Toronto may provide less competition for potential restaurant owners.
This document summarizes the process of opening a restaurant in New York City and Toronto. It explores the differences in the processes between the two cities using data from Wikipedia, geospatial data sources, and the Foursquare API. The methodology section describes extracting location data for restaurants in both cities from Foursquare and performing k-means clustering. The results section shows the top restaurant categories in each city and visualizations of restaurant locations and clusters in maps of New York and Toronto. The discussion analyzes how this data could help potential restaurant owners choose a location, and the conclusion indicates that Toronto may provide less competition than New York.
Manhattan and Brooklyn have the highest population densities and are the most competitive for restaurant businesses. Queens, the Bronx, and Staten Island have fewer existing restaurants, representing opportunities for new restaurants. Specific neighborhoods in Staten Island like Tottenville, Port Ivory, and Bloomfield have the lowest existing restaurant counts, indicating lower competition. The data analysis provides insights on cuisine preferences and market saturation in New York City boroughs and neighborhoods to help identify low-risk areas for starting a new restaurant.
The New York City Financial Services Cluster - Research PaperLoucas Anagnostou
The document provides an overview of the New York City financial services cluster. It discusses how New York City became the global epicenter of financial services due to its early development of Wall Street in the 19th century. While the cluster faced challenges during the 2008 financial crisis, it remains the world's largest in the industry. The document recommends policies like relaxing corporate taxes and making office space more affordable to strengthen the competitiveness of the New York financial services cluster.
This document describes a capstone project that uses data science techniques to determine the best location in Toronto to open a new Indian restaurant. The methodology involves scraping data on Toronto neighborhoods and postal codes, obtaining venue data from Foursquare, and using k-means clustering to group neighborhoods into four clusters based on their existing venues. The results show that Cluster 1 has the most neighborhoods but fewest Indian restaurants, indicating it is a potential market for a new Indian restaurant. The conclusion is that Cluster 1 neighborhoods like Richmond, Studio District, and Rosedale would be good locations to open a new Indian restaurant.
1) The document summarizes the evolution of two information communication tools - Ushahidi and Noula. It charts their development over time through a system analysis diagram, noting key outcomes, actors, and communication flows.
2) Ushahidi originated as a crisis mapping tool used by various state and non-state actors. Noula developed as a derivative application focused on two-way communication for disaster response.
3) The infographic compares monthly messages received by each platform over time, showing Ushahidi received thousands per month while Noula received only hundreds, indicating its more limited adoption and closed-loop communication structure.
The document analyzes potential locations for a new restaurant in New York City. It clusters the neighborhoods of Manhattan, Brooklyn, Bronx, Queens and Staten Island into two groups based on restaurant data. Neighborhoods in Cluster 0 for Bronx, Queens and Staten Island have the lowest number of existing restaurants, indicating opportunities for a new restaurant. The document recommends further exploring cuisines from other countries in the Bronx, Queens and Staten Island neighborhoods in Cluster 0.
This document explores and compares the process of opening a restaurant in New York City and Toronto. It analyzes data from sources like Wikipedia, Foursquare API, and geospatial datasets on the types and locations of restaurants in each city. The methodology section describes extracting attributes from the data to identify restaurant categories, locations, ratings, and other metrics. The results and discussion sections compare the restaurant landscapes in New York and Toronto and visualize clusters of popular categories. The conclusion finds that Toronto may provide less competition for potential restaurant owners.
This document summarizes the process of opening a restaurant in New York City and Toronto. It explores the differences in the processes between the two cities using data from Wikipedia, geospatial data sources, and the Foursquare API. The methodology section describes extracting location data for restaurants in both cities from Foursquare and performing k-means clustering. The results section shows the top restaurant categories in each city and visualizations of restaurant locations and clusters in maps of New York and Toronto. The discussion analyzes how this data could help potential restaurant owners choose a location, and the conclusion indicates that Toronto may provide less competition than New York.
Manhattan and Brooklyn have the highest population densities and are the most competitive for restaurant businesses. Queens, the Bronx, and Staten Island have fewer existing restaurants, representing opportunities for new restaurants. Specific neighborhoods in Staten Island like Tottenville, Port Ivory, and Bloomfield have the lowest existing restaurant counts, indicating lower competition. The data analysis provides insights on cuisine preferences and market saturation in New York City boroughs and neighborhoods to help identify low-risk areas for starting a new restaurant.
The New York City Financial Services Cluster - Research PaperLoucas Anagnostou
The document provides an overview of the New York City financial services cluster. It discusses how New York City became the global epicenter of financial services due to its early development of Wall Street in the 19th century. While the cluster faced challenges during the 2008 financial crisis, it remains the world's largest in the industry. The document recommends policies like relaxing corporate taxes and making office space more affordable to strengthen the competitiveness of the New York financial services cluster.
This document describes a capstone project that uses data science techniques to determine the best location in Toronto to open a new Indian restaurant. The methodology involves scraping data on Toronto neighborhoods and postal codes, obtaining venue data from Foursquare, and using k-means clustering to group neighborhoods into four clusters based on their existing venues. The results show that Cluster 1 has the most neighborhoods but fewest Indian restaurants, indicating it is a potential market for a new Indian restaurant. The conclusion is that Cluster 1 neighborhoods like Richmond, Studio District, and Rosedale would be good locations to open a new Indian restaurant.
1) The document summarizes the evolution of two information communication tools - Ushahidi and Noula. It charts their development over time through a system analysis diagram, noting key outcomes, actors, and communication flows.
2) Ushahidi originated as a crisis mapping tool used by various state and non-state actors. Noula developed as a derivative application focused on two-way communication for disaster response.
3) The infographic compares monthly messages received by each platform over time, showing Ushahidi received thousands per month while Noula received only hundreds, indicating its more limited adoption and closed-loop communication structure.
Port Dickson Essay. Online assignment writing service.Inell Campbell
The document discusses auditing procurement cards (P-cards) used by businesses to make purchases. P-cards are like credit cards but contain more purchase controls. The author will audit a sample of P-card transactions from a given period to determine what percentage lacked proper tax documentation. This percentage will then be applied to all purchases in a specific account to project the total taxable amount for the audit period. Stratifying transactions by dollar amount is unnecessary due to the typically small transaction sizes.
The document discusses selective incorporation, which is the process by which the Supreme Court applies protections in the Bill of Rights to the states through the Fourteenth Amendment's Due Process clause. It notes that four key amendments have been incorporated this way, including the Fifth Amendment protection against double jeopardy. As an example, it discusses the 1937 case of Palko v. Connecticut, in which the Supreme Court ruled that double jeopardy protections did not apply to states in that case. It indicates there will be further discussion of amendments, cases, and how they have impacted modern life.
Chicago is a major economic and cultural hub with a diverse economy. It has over 2.7 million residents and is home to the headquarters of over 400 major corporations including 31 Fortune 500 companies. Chicago has a robust public transportation system and many distinct neighborhoods that represent its cultural diversity. While the cost of living is higher than some midwestern cities, Chicago offers a variety of housing, dining, arts and entertainment options suited to different budgets.
City of San Antonio - Texas Digitization Expo 2010Sarah Walch, CA
The City of San Antonio archives program began in 2005 and has since expanded through grants from the National Historical Publications and Records Commission totaling $150,000. The program houses and makes available over 74 collections related to the history of San Antonio. Current projects include acquiring new materials, exhibits, digitization in partnership with the public library, and seeking funding for a new facility.
Essay On Apparel Industry. Online assignment writing service.Amy Colantuoni
The document outlines a 5-step process for seeking writing assistance from an online service, including registering for an account, completing an order form with instructions and deadline, reviewing bids from writers and selecting one, receiving the completed paper, and having the option to request revisions if needed. It promises original, high-quality content and refunds for plagiarized work.
2018 LA Tech & Venture Scene | Amplify.LAEric Pakravan
The LA technology scene has come along way in the last few years. This deck offers a comprehensive overview of the Los Angeles technology and venture landscape in 2018. It covers the players, investors, history and future of LA tech, as well as leading sectors such as e-commerce, online media, e-sports, VR & AR, aerospace, gaming and more.
CONFERENCE PAPER.Explosive Economic Growth in the San Francisco Bay Area has ...David Woltering
This document is an abstract for a paper that David Woltering will present at a conference on sustainable and equitable cities. The abstract summarizes that the San Francisco Bay Area has experienced explosive economic growth since 2010, creating many jobs and opportunities, but also significant challenges like a shortage of affordable housing. The full paper will examine this economic growth in more detail, the associated challenges, and actions that local governments are taking to manage growth in a sustainable and equitable way.
The document discusses finding the best locations for farmers markets in New York City through data analysis. It describes acquiring data from online sources on existing markets and cleaning the data by removing unnecessary columns and filling in missing values. Exploratory analysis was conducted comparing variables like different boroughs and market types. The analysis found that Manhattan and Brooklyn had the highest numbers of existing markets and would likely be the most profitable locations. A concluding map was produced to identify preferable areas for new markets in Manhattan.
This document provides an analysis of impediments to fair housing choice in Cook County, Illinois. It analyzes data from the 1990, 2000, and 2010 Censuses and 2005-2009 American Community Survey. Some of the key findings include:
- The population of Cook County increased slightly between 2000 and 2010 but at a much slower rate than the previous decade.
- The white population decreased from 73.0% in 2000 to 67.8% in 2009, while the black, Asian, and Hispanic populations all increased during that period.
- Maps show the concentrations of various racial/ethnic groups across suburban Cook County municipalities and census tracts.
- The report will continue to analyze housing, employment
Presentation by the Glover Park Group's Jonathan Kopp about the power of technology, communication and participation to increase the efficiency and effectiveness of city, state and federal governments. Delivered before a live & streamed international audience at Moscow's 2013 rASiA Innovation Forum.
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This document provides instructions for paying someone to write a paper through the HelpWriting.net website. It outlines a 5-step process: 1) Create an account with valid email and password; 2) Complete a 10-minute order form with instructions, sources, and deadline; 3) Review bids from writers and choose one based on qualifications; 4) Review the completed paper and authorize payment if satisfied; 5) Request revisions to ensure needs are fully met, with a refund option for plagiarized work.
This document is an abstract for a paper that David Woltering will present at a conference on sustainable and equitable cities. The abstract summarizes that the paper will examine the economic growth in the San Francisco Bay Area since 2010 and the challenges that growth has created. It will describe specific actions that local communities are taking to manage growth and promote healthy, sustainable, and equitable communities. The abstract provides background on the San Francisco Bay Area region and outlines the major points that will be discussed in the full paper.
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The document discusses analyzing housing prices and common venues in London neighborhoods to help real estate investors identify affordable areas that still provide amenities. Data on housing prices, London boroughs/postal codes, and most common venue types per borough from APIs were collected and preprocessed. K-means clustering grouped boroughs into 6 clusters based on common venues. Boroughs were also labeled as having high or low housing price levels. The results showed downtown and hotel/social areas have high prices while suburbs further from the city center have lower prices but still offer restaurants, pubs, and sports facilities nearby. This analysis can help both investors and city managers.
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The document provides instructions for completing paid writing assignments through a 5-step process: 1) Create an account, 2) Complete an order form providing instructions and deadline, 3) Review bids from writers and select one, 4) Review the completed paper and authorize payment, 5) Request revisions to ensure satisfaction and receive a refund for plagiarized work.
This document provides an overview of urban development trends in Santiago, Chile over recent decades as well as an analysis of land markets and social housing policies. Some key points:
1) Santiago's population growth rate has declined steadily since the 1960s due to reduced migration and family sizes, though income levels have risen significantly reducing poverty.
2) The city's urban area has expanded at decreasing rates in recent decades, reaching 69,000 hectares currently, while density has remained relatively stable around 90-100 inhabitants per hectare.
3) Land prices fluctuated in the early 1980s but have grown steadily since, driven primarily by rising incomes rather than population growth. Availability of vacant urban land is estimated at
Downtown San Diego is experiencing rapid population and economic growth, driven by young professionals and families moving to the urban core. The downtown population has grown 97% since 2000 to over 34,000 residents currently. Downtown has a highly educated population with over half holding a bachelor's degree or higher. Renters make up the majority of downtown residents at 76%, reflecting the high demand for urban living. As the economic engine of the region, downtown is projected to continue attracting new residents and jobs, strengthening its role as the innovation hub of San Diego.
This document provides a retail analysis of the Othello retail corridor in Seattle. It analyzes the neighborhood demographics, retail trade areas, existing businesses, and identifies target retailers. The primary trade area has a diverse population, with over 50% speaking a language other than English at home and 39% identifying as Asian alone. The area has higher poverty rates and lower incomes compared to Seattle overall. The analysis identifies competition from other retail centers and provides strategies to support existing businesses and attract new complementary businesses to serve the community.
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The document discusses finding the best location in Washington DC to open an Ethiopian cultural restaurant. It analyzes data on neighborhoods and venues from Foursquare to cluster neighborhoods based on similarities. K-means clustering was used to group neighborhoods into five categories. The analysis found that Adams Morgan and Downtown were promising locations, as they have a large Ethiopian population and many international restaurants and hotels. In conclusion, those two neighborhoods were selected as the potential areas to launch an Ethiopian cultural restaurant.
Port Dickson Essay. Online assignment writing service.Inell Campbell
The document discusses auditing procurement cards (P-cards) used by businesses to make purchases. P-cards are like credit cards but contain more purchase controls. The author will audit a sample of P-card transactions from a given period to determine what percentage lacked proper tax documentation. This percentage will then be applied to all purchases in a specific account to project the total taxable amount for the audit period. Stratifying transactions by dollar amount is unnecessary due to the typically small transaction sizes.
The document discusses selective incorporation, which is the process by which the Supreme Court applies protections in the Bill of Rights to the states through the Fourteenth Amendment's Due Process clause. It notes that four key amendments have been incorporated this way, including the Fifth Amendment protection against double jeopardy. As an example, it discusses the 1937 case of Palko v. Connecticut, in which the Supreme Court ruled that double jeopardy protections did not apply to states in that case. It indicates there will be further discussion of amendments, cases, and how they have impacted modern life.
Chicago is a major economic and cultural hub with a diverse economy. It has over 2.7 million residents and is home to the headquarters of over 400 major corporations including 31 Fortune 500 companies. Chicago has a robust public transportation system and many distinct neighborhoods that represent its cultural diversity. While the cost of living is higher than some midwestern cities, Chicago offers a variety of housing, dining, arts and entertainment options suited to different budgets.
City of San Antonio - Texas Digitization Expo 2010Sarah Walch, CA
The City of San Antonio archives program began in 2005 and has since expanded through grants from the National Historical Publications and Records Commission totaling $150,000. The program houses and makes available over 74 collections related to the history of San Antonio. Current projects include acquiring new materials, exhibits, digitization in partnership with the public library, and seeking funding for a new facility.
Essay On Apparel Industry. Online assignment writing service.Amy Colantuoni
The document outlines a 5-step process for seeking writing assistance from an online service, including registering for an account, completing an order form with instructions and deadline, reviewing bids from writers and selecting one, receiving the completed paper, and having the option to request revisions if needed. It promises original, high-quality content and refunds for plagiarized work.
2018 LA Tech & Venture Scene | Amplify.LAEric Pakravan
The LA technology scene has come along way in the last few years. This deck offers a comprehensive overview of the Los Angeles technology and venture landscape in 2018. It covers the players, investors, history and future of LA tech, as well as leading sectors such as e-commerce, online media, e-sports, VR & AR, aerospace, gaming and more.
CONFERENCE PAPER.Explosive Economic Growth in the San Francisco Bay Area has ...David Woltering
This document is an abstract for a paper that David Woltering will present at a conference on sustainable and equitable cities. The abstract summarizes that the San Francisco Bay Area has experienced explosive economic growth since 2010, creating many jobs and opportunities, but also significant challenges like a shortage of affordable housing. The full paper will examine this economic growth in more detail, the associated challenges, and actions that local governments are taking to manage growth in a sustainable and equitable way.
The document discusses finding the best locations for farmers markets in New York City through data analysis. It describes acquiring data from online sources on existing markets and cleaning the data by removing unnecessary columns and filling in missing values. Exploratory analysis was conducted comparing variables like different boroughs and market types. The analysis found that Manhattan and Brooklyn had the highest numbers of existing markets and would likely be the most profitable locations. A concluding map was produced to identify preferable areas for new markets in Manhattan.
This document provides an analysis of impediments to fair housing choice in Cook County, Illinois. It analyzes data from the 1990, 2000, and 2010 Censuses and 2005-2009 American Community Survey. Some of the key findings include:
- The population of Cook County increased slightly between 2000 and 2010 but at a much slower rate than the previous decade.
- The white population decreased from 73.0% in 2000 to 67.8% in 2009, while the black, Asian, and Hispanic populations all increased during that period.
- Maps show the concentrations of various racial/ethnic groups across suburban Cook County municipalities and census tracts.
- The report will continue to analyze housing, employment
Presentation by the Glover Park Group's Jonathan Kopp about the power of technology, communication and participation to increase the efficiency and effectiveness of city, state and federal governments. Delivered before a live & streamed international audience at Moscow's 2013 rASiA Innovation Forum.
There is Something Going on in the LA Tech Market by Upfront VenturesMark Suster
The Los Angeles technology market is one of the largest and fastest growing in the US. It is the third largest tech ecosystem and has grown 4 times faster than the national average in recent years. Capital investment in LA startups has also increased significantly, with over $1.5 billion invested in 2013. LA has a strong talent base and is a leader in the key industries of the future, particularly content, commerce, and communication. The future looks bright for continued growth and success of the LA tech sector.
This document provides instructions for paying someone to write a paper through the HelpWriting.net website. It outlines a 5-step process: 1) Create an account with valid email and password; 2) Complete a 10-minute order form with instructions, sources, and deadline; 3) Review bids from writers and choose one based on qualifications; 4) Review the completed paper and authorize payment if satisfied; 5) Request revisions to ensure needs are fully met, with a refund option for plagiarized work.
This document is an abstract for a paper that David Woltering will present at a conference on sustainable and equitable cities. The abstract summarizes that the paper will examine the economic growth in the San Francisco Bay Area since 2010 and the challenges that growth has created. It will describe specific actions that local communities are taking to manage growth and promote healthy, sustainable, and equitable communities. The abstract provides background on the San Francisco Bay Area region and outlines the major points that will be discussed in the full paper.
Spatial Patterns of Urban Innovation and ProductivityRadu Stancut
This document analyzes spatial patterns of urban innovation and productivity using data on patents and GDP from various sources. It summarizes the methodology used, which involves comparing patent intensity to GDP per capita across MSAs and analyzing technological profiles of New York, Boston, Houston, and San Jose based on counts of patents by technology class in each area. Key findings include positive correlations between size of MSA and both patent activity and GDP, as well as differences in the technological profiles and concentrations of patents across the selected MSAs.
The document discusses analyzing housing prices and common venues in London neighborhoods to help real estate investors identify affordable areas that still provide amenities. Data on housing prices, London boroughs/postal codes, and most common venue types per borough from APIs were collected and preprocessed. K-means clustering grouped boroughs into 6 clusters based on common venues. Boroughs were also labeled as having high or low housing price levels. The results showed downtown and hotel/social areas have high prices while suburbs further from the city center have lower prices but still offer restaurants, pubs, and sports facilities nearby. This analysis can help both investors and city managers.
Paid Writing Assignments -. Online assignment writing service.Ashley Carter
The document provides instructions for completing paid writing assignments through a 5-step process: 1) Create an account, 2) Complete an order form providing instructions and deadline, 3) Review bids from writers and select one, 4) Review the completed paper and authorize payment, 5) Request revisions to ensure satisfaction and receive a refund for plagiarized work.
This document provides an overview of urban development trends in Santiago, Chile over recent decades as well as an analysis of land markets and social housing policies. Some key points:
1) Santiago's population growth rate has declined steadily since the 1960s due to reduced migration and family sizes, though income levels have risen significantly reducing poverty.
2) The city's urban area has expanded at decreasing rates in recent decades, reaching 69,000 hectares currently, while density has remained relatively stable around 90-100 inhabitants per hectare.
3) Land prices fluctuated in the early 1980s but have grown steadily since, driven primarily by rising incomes rather than population growth. Availability of vacant urban land is estimated at
Downtown San Diego is experiencing rapid population and economic growth, driven by young professionals and families moving to the urban core. The downtown population has grown 97% since 2000 to over 34,000 residents currently. Downtown has a highly educated population with over half holding a bachelor's degree or higher. Renters make up the majority of downtown residents at 76%, reflecting the high demand for urban living. As the economic engine of the region, downtown is projected to continue attracting new residents and jobs, strengthening its role as the innovation hub of San Diego.
This document provides a retail analysis of the Othello retail corridor in Seattle. It analyzes the neighborhood demographics, retail trade areas, existing businesses, and identifies target retailers. The primary trade area has a diverse population, with over 50% speaking a language other than English at home and 39% identifying as Asian alone. The area has higher poverty rates and lower incomes compared to Seattle overall. The analysis identifies competition from other retail centers and provides strategies to support existing businesses and attract new complementary businesses to serve the community.
Capstone Project: The Battle of Neighborhoods (Week 2)TewodrosTazeze
The document discusses finding the best location in Washington DC to open an Ethiopian cultural restaurant. It analyzes data on neighborhoods and venues from Foursquare to cluster neighborhoods based on similarities. K-means clustering was used to group neighborhoods into five categories. The analysis found that Adams Morgan and Downtown were promising locations, as they have a large Ethiopian population and many international restaurants and hotels. In conclusion, those two neighborhoods were selected as the potential areas to launch an Ethiopian cultural restaurant.
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Exploring New York Neighborhoods for the best Italian Restaurants (The Battle of Neighborhoods)
1. 1
Exploring New York Neighborhoods
for the best Italian Restaurants
Using Data Analytics
(The Battle of Neighborhoods)
CHIBUIKE OSIGWE
2. i
Exploring New York Neighborhoods
for the best Italian Restaurants Using
Data Analytics
(The Battle of Neighborhoods)
CHIBUIKE OSIGWE
3. ii
Preface
As a part of the IBM Data Science professional program Capstone Project, we
worked on the real datasets to get an experience of what a data scientist goes through
in real life. Main objectives of this project were to define a business problem, look
for data in the web and use Foursquare location data to compare different
neighborhoods of New York to figure out which neighborhood is suitable for starting
a new restaurant business. In this project, we will go through all the process in a step
by step manner from problem designing, data preparation to final analysis and finally
will provide a conclusion that can be leveraged by the business stakeholders to make
their decisions.
4. iii
Content
Preface....................................................................................................................... ii
Content..................................................................................................................... iii
Introduction................................................................................................................1
1.1 Background.......................................................................................................1
1.2 Problem.............................................................................................................2
1.3 Target Audience................................................................................................3
Data Acquisition and Methodology...........................................................................4
2.1 Data Source.......................................................................................................4
2.2 Methodology.....................................................................................................4
Exploratory Data Analysis.........................................................................................5
3.1 Number of Neighborhoods ...............................................................................5
3.2 Italian Restaurants Per Borough.......................................................................5
3.3 Italian Restaurants Per Neighborhood..............................................................9
Conclusion and Recommendation ...........................................................................12
4.1 Recommendation and Discussion...................................................................12
4.2 Conclusion ......................................................................................................13
5. 1
Introduction
1.1 Background
New York City (NYC), often called the City of New York or simply New
York (NY), is the most populous city in the United States. With an estimated 2018
population of 8,398,748 distributed over about 302.6 square miles (784 km2
), New
York is also the most densely populated major city in the United States.[10]
Located
at the southern tip of the U.S. state of New York, the city is the center of the New
York metropolitan area, the largest metropolitan area in the world by urban
landmass.[11]
With almost 20 million people in its metropolitan statistical area and
approximately 23 million in its combined statistical area, it is one of the world's most
populous megacities. New York City has been described as the cultural, financial,
and media capital of the world, significantly influencing
commerce,[12]
entertainment, research, technology, education, politics, tourism, art,
fashion, and sports. Home to the headquarters of the United Nations,[13]
New York
is an important center for international diplomacy.[14][15]
Situated on one of the world's largest natural harbors, New York City is composed
of five boroughs, each of which is a county of the State of New York.[16]
The five
boroughs–Brooklyn, Queens, Manhattan, the Bronx, and Staten Island–were
consolidated into a single city in 1898.[17]
The city and its metropolitan area
constitute the premier gateway for legal immigration to the United States. As many
as 800 languages are spoken in New York,[18]
making it the
most linguistically diverse city in the world. New York is home to more than
3.2 million residents born outside the United States,[19]
the largest foreign-born
population of any city in the world as of 2016.[20][21]
As of 2019, the New York
6. 2
metropolitan area is estimated to produce a gross metropolitan product (GMP) of
$2.0 trillion. If greater New York City were a sovereign state, it would have the 12th
highest GDP in the world.[22]
New York is home to the highest number of billionaires
of any city in the world.
Figure 1: A Typical Italian Restaurant
1.2 Problem
This final project explores the best locations for Italian restaurants throughout the
city of New York. Food Business News stated that worldwide pasta sales were up
for the second year in a row with the United Sates holding the largest market
(Donley, 2018). New York is a major metropolitan area with more than 8.4 million
(Quick Facts, 2018) people living within city limits. Most of the Italian immigration
7. 3
into the United States occurred during the late 19th and early 20th century with over
two million immigrants between 1900 and 1910. Italian families first settled in Little
Italy’s neighborhood around Mulberry Street as has continued to thrive ever since.
Italy account for the largest black immigrants in the United State, with almost
100,000 Manhattan inhabitants reporting Italian ancestry, the need to find and enjoy
Italian cuisine is on the rise. This report explores which neighborhoods and boroughs
of New York City have the most as well as the best Italian restaurants. Additionally,
I will attempt to answer the questions “Where should I open a Italian Restaurant?”
and “Where should I stay If I want great Italian food?”
1.3 Target Audience
Who will be more interested in this project? What type of clients or a group of people
will benefit?
1. Business personnel who wants to invest or open a Italian restaurant in New
York. This analysis will be a comprehensive guide to start or expand
restaurants targeting the Italian crowd.
2. Freelancers who loves to have their own restaurant as a side business. This
analysis will give an idea, how beneficial it is to open a restaurant and what
are the pros and cons of this business.
3. Italian crowd who wants to find neighborhoods with lots of option for Italian
restaurants.
4. Business Analyst or Data Scientists, who wish to analyze the neighborhoods
of New York using Exploratory Data Analysis and other statistical & machine
learning techniques to obtain all the necessary data, perform some operations
on it and, finally be able to tell a story out of it.
8. 4
Data Acquisition and Methodology
2.1 Data Source
In order to answer the above questions, data on New York City neighborhoods,
boroughs to include boundaries, latitude, longitude, restaurants, and restaurant
ratings and tips are required.
New York City data containing the neighborhoods and boroughs, latitudes,
and longitudes will be obtained from the data
source: https://cocl.us/new_york_dataset
New York City data containing neighborhood boundaries will be obtained
from the data source: https://data.cityofnewyork.us/City-
Government/Borough-Boundaries/tqmj-j8zm
All data related to locations and quality of Italian restaurants will be
obtained via the FourSquare API utilized via the Request library in Python.
2.2 Methodology
Data will be collected from https://cocl.us/new_york_dataset and cleaned and
processed into a data frame. Foursquare be used to locate all venues and then filtered
by Italian restaurants. Ratings, tips, and likes by users will be counted and added to
the data frame. Data will be sorted based on rankings. Finally, the data be will be
visually assessed using graphing from various Python libraries.
9. 5
Exploratory Data Analysis
3.1 Number of Neighborhoods
Foursquare API is very useful online application used my many developers & other
applications like Uber etc. In this project I have used it to retrieve information about
the places present in the neighborhoods of New York. The API returns a JSON file
and we need to turn that into a data-frame. Here I have chosen 100 popular spots for
each neighborhood within a radius of 1km.
From figure 1 below, it can be seen that the Manhattan have the lowest number of
neighborhood while Queens Borough have the highest number. Brooklyn and Staten
Island seem to have seem to be in pair. This shows a little bit of competitive attribute
between the two boroughs.
Using the Folium package, the coordinates of the various neighborhoods bbelonging
to the five boroughs were ascertained after requested. This can be found in Figure
two.
3.2 Italian Restaurants Per Borough
Total number of 233 restaurants were returned from the analysis, each belonging to
a particular borough and neighborhood.
10. 6
Figure 2: Neigbourhood per borough
Figure 3 A Snapshot of the Boroughs and Neighborhood around New York
11. 7
Figure 4: Italian Restuarants Per Borough
From Figure 3 above, it can be deduced that Manhattan have the highest number of
Italian restaurants despite having the least number of neighborhood. They have up
to 100 Italian restaurants in the borough. The Queen borough have the least number
with a total of 20. Additionally, Brooklyn and Staten Island are almost on pair
showing a high competition attribute between the two.
12. 8
Figure 5: A picture of the Neighborhoods and Boroughs showing the total number
of Italian restaurants
Figure 6: Italian Restaurants Per Neighborhood
13. 9
This shows that Manhattan borough accounts fo the highest number of Borough
despite having the smallest number of Neighbourhoods. Figure 4 shows a returned
value showing the total of Italian restaurants.
3.3 Italian Restaurants Per Neighborhood
From Figure 5, it can be deduced that the neighborhood of Belmont have the highest
number of Italian restaurant with over 16 numbers. This is followed by Greenwich
Village, then West Village to Lenox Hill which have the lowest. The range of
numbers of the Italian restaurant is highly skewed, showing that they are all
dispersed throughout the neighbourhoods.
From figure 6, it is evidently shown that Belmont Neighborhood belongs to Bronx
borough. This means that Bronx borough have the highest of restaurant of a
particular neighborhood
15. 11
Figure 8: Map Showing the restaurant density of the Neighbourhood and Borough
The map shows a high clustered visualization around Manhattan and Lenox Hill,
judging from their locations.
16. 12
Conclusion and Recommendation
4.1 Recommendation and Discussion
Queens and The Bronx have the least amount of Italian restaurants per borough.
However, of note, Belmont of The Bronx is the neighborhood in all of NYC with
the most Italian Restaurants. Despite Manhattan having the least number of
neighborhoods in all five boroughs, it has the most Italian restaurants. Based on this
information, I would state that Manhattan and Queens are the best locations for
Italian cuisine in NYC. To have the best shot of success, I would open an Italian
restaurant in Queens. Queens has multiple neighborhoods and has the least number
of Italian restaurants making competition easier than in other boroughs.
According to this analysis, Queens’s borough will provide the least competition for
the new upcoming Italian restaurant, as there is very little Italian restaurants spread
or no Italian restaurants in few neighborhoods. Also looking at the population
distribution seems like it is densely populated with Italian crowd, which helps the
new restaurant by providing high customer visit possibility. Therefore, definitely
this region could potentially be a perfect place for starting quality Italian restaurants.
Some of the drawbacks of this analysis are — the clustering is completely based
only on data obtained from Foursquare API and the data about the Italian population
distribution in each neighborhood is also based on the 2016 census which is not up-
to date. Thus, there is a huge gap of around 3 years in the population distribution
data. Even Though there are many areas where it can be improved, yet this analysis
has certainly provided us with some good insights, preliminary information on
possibilities & a head start into this business problem by setting the step stones
properly.
17. 13
4.2 Conclusion
Finally, to conclude this project, wwe have got a chance to solve a business problem
like how a real like data scientists would do. We have used many python libraries to
fetch the data, to manipulate the contents & to analyze and visualize those datasets.
We have made use of Foursquare API to explore the venues in neighborhoods of
New York, then get good amount of data from online. We also applied Visualization
technique for insights and used Folium to visualize it on a map.
Some of the drawbacks or areas of improvement shows us that this analysis can be
further improved with the help of more data and easy coding syntax. Similarly we
can use this project to analysis any scenario such as opening a different cuisine
restaurant or opening of a new gym and etc. I hope that this project helps as an initial
guidance to take more complex real-life challenges using data-science.
Find the code for this analysis on github .
Find me on LinkedIn!