IBM Capstone - Battle of Neighborhood-1.ipynb

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    "# Capstone Project - Battle of Neighborhood"
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   "source": [
    "## Introduction "
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    "Demographics of New York City shows that New York City has very diverse population of nearly 9 million people.This means 1 / 3 of New York state lives at New York City. And this population increasing rapitly each year. Also , Demographics of New York City demostrate that more than half of the people is immigrant and this percentage is rise continuosly. \n",
    "\n",
    "In this diversified city , nearly half of the population and most of the immigrat is hispanic/Latino race.In this project , we will resarch restaurant of this huge population of hispanic / Latinos becuase food is one of the most fundemantal needs for humans and it represents habits of human races clearly."
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    "## Data"
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    "For this project we need the following data :\n",
    "\n",
    "* New York City data that contains list Boroughs, Neighborhoods along with their latitude and longitude.\n",
    "* Data source : https://cocl.us/new_york_dataset\n",
    "* Description : This data set contains the required information. And we will use this data set to explore various neighborhoods of new york city.\n",
    "* Hispanic/Latinos resturants in each neighborhood of new york city.\n",
    "* Data source : Fousquare API\n",
    "* Description : By using this api we will get all the venues in each neighborhood. We can filter these venues to get only Hispanic/Latinos resturants.\n",
    "* GeoSpace data\n",
    "* Data source : https://data.cityofnewyork.us/City-Government/Borough-Boundaries/tqmj-j8zm\n",
    "* Description : By using this geo space data we will get the New york Borough boundaries that will help us visualize choropleth map."
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    "## Approach"
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    "* Collect the new york city data from https://cocl.us/new_york_dataset.\n",
    "* Finding venues of each neighborhood with FourSquare.\n",
    "* Filtering  Hispanic/ Latinos Resturants's venues.\n",
    "* FourSquare for finding rating , tips and like count of resturants.\n",
    "* sorting resturant data using rating \n",
    "* folium for visualize the ranking \n",
    "* Questions that can be asked using the above mentioned datasets"
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    "## Analysis"
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    "We are going to use  python and its libraries.\n",
    "\n",
    "* folium for creating map\n",
    "* pandas and numpy for handling data.\n",
    "* geopy for getting coordinates of New York City.\n",
    "* request module to use FourSquare API."
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    "## Questions that can be asked using the above mentioned datasets"
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    "* What is best location in New York City for Hispanic/ Latinos  ?\n",
    "* Which areas have potential Hispanic/ Latinos Resturant Market ?\n",
    "* Which is the best place to stay if I prefer Hispanic/ Latinos ?"
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