week 4 part 1.rtf

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\pard\sa200\sl276\slmult1\qc\b\f0\fs40\lang9  Data\par

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The necessary data for this project, based on the above stated requirements, are:\par
The metro stations in the \highlight1 karol bag\highlight0 h greater metropolitan area\par
Number of existing hotels near each station\par
In addition, the distance to the nearest hotels for every metro station will be used\par
In order to obtain the data, a combination of the geopy Python library and the Foursquare API will be used:\par
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1. \lquote\highlight1 Karol Bagh Market\rquote  will be considered as the center of Karol Bagh,Delhi\highlight0 . It is indeed one of the most central location in the city. I will obtain its geospatial coordinates using the geopy library\par
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2. Having the coordinates of the \lquote center\rquote  of Karol Bagh, the Foursquare API will be used to retrieve data for all the metro stations in Athens greater area in a radius of 15 km\par
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3. To find the existing hotels near the metro stations, the Foursquare API will again be used for every station. I will obtain data for all the hotels located in a radius of 1000 meters of every metro station\par
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Using the collected data, I will calculate the number of existing hotels near each station. I will also be able to determine the minimum distance to a hotel for every metro station from the 3rd step of the above process. This minimum distance to every metro station from a hotel, along with the number of already existing hotels near the station will be used as input to K-Means clustering algorithm to obtain the clusters of areas (metro stations).\par
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