Using iGraph to build a Distribution Model












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I would like to analyze the distribution of the Customers from a Shop, if the Shop is closed or terminated. Consider the following sample data-set;



| ShopID | MonthlyCVisitCount |   Lat     |     Lng    |
--------------------------------------------------------
| A1 | 15000 | 39.84349 | 116.33986 |
| A2 | 24560 | 39.84441 | 116.33995 |
| A3 | 14789 | 39.84615 | 116.34012 |
| A4 | 35479 | 39.84891 | 116.34039 |


I would like to build a distribution model using NetowrkX or iGraph based on the distance (i.e., lat, lng) and determine how the distribution (MonthlyCVisitCount) would spread if I supposedly close the shop A1.



Is it possible to obtain the shortest path from A1 to A2, A3, A4 and based on some business rules, I can analyze the distribution.



Any inputs would be really helpful









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    0












    $begingroup$


    I would like to analyze the distribution of the Customers from a Shop, if the Shop is closed or terminated. Consider the following sample data-set;



    | ShopID | MonthlyCVisitCount |   Lat     |     Lng    |
    --------------------------------------------------------
    | A1 | 15000 | 39.84349 | 116.33986 |
    | A2 | 24560 | 39.84441 | 116.33995 |
    | A3 | 14789 | 39.84615 | 116.34012 |
    | A4 | 35479 | 39.84891 | 116.34039 |


    I would like to build a distribution model using NetowrkX or iGraph based on the distance (i.e., lat, lng) and determine how the distribution (MonthlyCVisitCount) would spread if I supposedly close the shop A1.



    Is it possible to obtain the shortest path from A1 to A2, A3, A4 and based on some business rules, I can analyze the distribution.



    Any inputs would be really helpful









    share









    $endgroup$















      0












      0








      0





      $begingroup$


      I would like to analyze the distribution of the Customers from a Shop, if the Shop is closed or terminated. Consider the following sample data-set;



      | ShopID | MonthlyCVisitCount |   Lat     |     Lng    |
      --------------------------------------------------------
      | A1 | 15000 | 39.84349 | 116.33986 |
      | A2 | 24560 | 39.84441 | 116.33995 |
      | A3 | 14789 | 39.84615 | 116.34012 |
      | A4 | 35479 | 39.84891 | 116.34039 |


      I would like to build a distribution model using NetowrkX or iGraph based on the distance (i.e., lat, lng) and determine how the distribution (MonthlyCVisitCount) would spread if I supposedly close the shop A1.



      Is it possible to obtain the shortest path from A1 to A2, A3, A4 and based on some business rules, I can analyze the distribution.



      Any inputs would be really helpful









      share









      $endgroup$




      I would like to analyze the distribution of the Customers from a Shop, if the Shop is closed or terminated. Consider the following sample data-set;



      | ShopID | MonthlyCVisitCount |   Lat     |     Lng    |
      --------------------------------------------------------
      | A1 | 15000 | 39.84349 | 116.33986 |
      | A2 | 24560 | 39.84441 | 116.33995 |
      | A3 | 14789 | 39.84615 | 116.34012 |
      | A4 | 35479 | 39.84891 | 116.34039 |


      I would like to build a distribution model using NetowrkX or iGraph based on the distance (i.e., lat, lng) and determine how the distribution (MonthlyCVisitCount) would spread if I supposedly close the shop A1.



      Is it possible to obtain the shortest path from A1 to A2, A3, A4 and based on some business rules, I can analyze the distribution.



      Any inputs would be really helpful







      machine-learning data-mining graphs





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      asked 7 mins ago









      JBHJBH

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