{
  "total": 72,
  "topics": [
    {
      "id": 4954,
      "title": "New Submission Parser",
      "comment_count": 0,
      "views": 1705,
      "votes": 0
    },
    {
      "id": 4108,
      "title": "Welcome!",
      "comment_count": 6,
      "views": 3326,
      "votes": 1
    },
    {
      "id": 4123,
      "title": "Minor test set quotation fix",
      "comment_count": 8,
      "views": 4828,
      "votes": null
    },
    {
      "id": 4400,
      "title": "Geocoding Data Quality Issues",
      "comment_count": 2,
      "views": 1258,
      "votes": null
    },
    {
      "id": 4166,
      "title": "Running regression Tree model with more than 32 factors",
      "comment_count": 6,
      "views": 12174,
      "votes": null
    },
    {
      "id": 4122,
      "title": "Quick n' dirty .CSV conversion (Python/Pandas)",
      "comment_count": 7,
      "views": 10672,
      "votes": 35
    },
    {
      "id": 4980,
      "title": "Now that the competition is over - what everyone used?",
      "comment_count": 33,
      "views": 23234,
      "votes": 11
    },
    {
      "id": 4972,
      "title": "where to enter our code?",
      "comment_count": 1,
      "views": 1951,
      "votes": null
    },
    {
      "id": 4925,
      "title": "CSV format problem",
      "comment_count": 1,
      "views": 1814,
      "votes": null
    },
    {
      "id": 4913,
      "title": "yelp-recruiting is ending soon - How many to choose!",
      "comment_count": 1,
      "views": 1668,
      "votes": null
    },
    {
      "id": 4867,
      "title": "Question Clarification",
      "comment_count": 3,
      "views": 1973,
      "votes": null
    },
    {
      "id": 4803,
      "title": "Text analysis - Dealing with memory errors due to the large corpus",
      "comment_count": 15,
      "views": 9087,
      "votes": 1
    },
    {
      "id": 4828,
      "title": "How long does it take to calculate?",
      "comment_count": 2,
      "views": 1642,
      "votes": null
    },
    {
      "id": 4734,
      "title": "The Date Issue Clarifications",
      "comment_count": 6,
      "views": 3100,
      "votes": 3
    },
    {
      "id": 4701,
      "title": "Anonymous Leaderboard",
      "comment_count": 17,
      "views": 6079,
      "votes": null
    },
    {
      "id": 4688,
      "title": "Can some one guide me what exactly needs to be done..??",
      "comment_count": 10,
      "views": 4244,
      "votes": null
    },
    {
      "id": 4610,
      "title": "Missing user information",
      "comment_count": 6,
      "views": 3259,
      "votes": 1
    },
    {
      "id": 4731,
      "title": "Test set",
      "comment_count": 1,
      "views": 1336,
      "votes": null
    },
    {
      "id": 4712,
      "title": "Error while making the submission",
      "comment_count": 4,
      "views": 1299,
      "votes": null
    },
    {
      "id": 4648,
      "title": "a complaint against Kaggle system",
      "comment_count": 3,
      "views": 1396,
      "votes": null
    },
    {
      "id": 4608,
      "title": "Possible checkin day of week off by one",
      "comment_count": 6,
      "views": 2165,
      "votes": null
    },
    {
      "id": 4663,
      "title": "Missing business id in yelp_test_set_business.json",
      "comment_count": 1,
      "views": 1062,
      "votes": null
    },
    {
      "id": 4595,
      "title": "user 'useful' votes",
      "comment_count": 7,
      "views": 2290,
      "votes": null
    },
    {
      "id": 4405,
      "title": "Estimators for missing data",
      "comment_count": 9,
      "views": 3078,
      "votes": null
    },
    {
      "id": 4632,
      "title": "total useful votes for a user",
      "comment_count": 3,
      "views": 1140,
      "votes": null
    },
    {
      "id": 4441,
      "title": "Questions about the dates and users",
      "comment_count": 12,
      "views": 4099,
      "votes": null
    },
    {
      "id": 4603,
      "title": "Cool Visualizations",
      "comment_count": 0,
      "views": 1064,
      "votes": 1
    },
    {
      "id": 4581,
      "title": "Submissions accepting integers and decimal floating points",
      "comment_count": 2,
      "views": 1068,
      "votes": 2
    },
    {
      "id": 4537,
      "title": "mismatch of useful # for some users with 1 review_count",
      "comment_count": 5,
      "views": 1899,
      "votes": null
    },
    {
      "id": 4562,
      "title": "Explanation",
      "comment_count": 2,
      "views": 1120,
      "votes": null
    },
    {
      "id": 4540,
      "title": "Submission samples order",
      "comment_count": 5,
      "views": 1502,
      "votes": null
    },
    {
      "id": 4525,
      "title": "Help! I'm stuck",
      "comment_count": 1,
      "views": 1120,
      "votes": null
    },
    {
      "id": 4349,
      "title": "Simulating the Test Set",
      "comment_count": 19,
      "views": 4292,
      "votes": null
    },
    {
      "id": 4297,
      "title": "Unbalanced Problem",
      "comment_count": 8,
      "views": 2833,
      "votes": null
    },
    {
      "id": 4496,
      "title": "Checkins don't actually mean a customer visit, or that the business was even open",
      "comment_count": 4,
      "views": 1359,
      "votes": null
    },
    {
      "id": 4500,
      "title": "external data rules",
      "comment_count": 1,
      "views": 842,
      "votes": null
    },
    {
      "id": 4131,
      "title": "Data Quality Issues",
      "comment_count": 12,
      "views": 3513,
      "votes": null
    },
    {
      "id": 4414,
      "title": "Is SAS a legal tool to use in this competition?",
      "comment_count": 7,
      "views": 4661,
      "votes": null
    },
    {
      "id": 4384,
      "title": "BasicQuestion: How to convert nominal columns into useful featues",
      "comment_count": 9,
      "views": 2943,
      "votes": null
    },
    {
      "id": 4117,
      "title": "Clarification Request: The Usual Questions About Text Mining and Rules about External Datasets",
      "comment_count": 8,
      "views": 3633,
      "votes": null
    },
    {
      "id": 4460,
      "title": "neighborhoods",
      "comment_count": 1,
      "views": 955,
      "votes": null
    },
    {
      "id": 4442,
      "title": "Useful votes in user file",
      "comment_count": 1,
      "views": 1228,
      "votes": null
    },
    {
      "id": 4270,
      "title": "Newbie question: Converting data for use in R",
      "comment_count": 10,
      "views": 6299,
      "votes": 1
    },
    {
      "id": 4432,
      "title": "Data Analysis Books ",
      "comment_count": 1,
      "views": 1371,
      "votes": null
    },
    {
      "id": 4260,
      "title": "Checkin Data",
      "comment_count": 1,
      "views": 1224,
      "votes": null
    },
    {
      "id": 4282,
      "title": "Business info present in training but not in testing",
      "comment_count": 1,
      "views": 1010,
      "votes": null
    },
    {
      "id": 4326,
      "title": "What does 'stars'  in business and review mean?",
      "comment_count": 2,
      "views": 1329,
      "votes": null
    },
    {
      "id": 4247,
      "title": "Some Questions about comeptition",
      "comment_count": 3,
      "views": 1454,
      "votes": null
    },
    {
      "id": 4146,
      "title": "Submission file format",
      "comment_count": 4,
      "views": 2145,
      "votes": null
    },
    {
      "id": 4310,
      "title": "What am I missing?",
      "comment_count": 6,
      "views": 2198,
      "votes": null
    },
    {
      "id": 4132,
      "title": "Why only businesses in Arizona?",
      "comment_count": 2,
      "views": 1259,
      "votes": null
    },
    {
      "id": 4274,
      "title": "Review Dates (Test Set)",
      "comment_count": 2,
      "views": 1149,
      "votes": null
    },
    {
      "id": 4271,
      "title": "total noobie: what fields from training set?",
      "comment_count": 2,
      "views": 1414,
      "votes": null
    },
    {
      "id": 4268,
      "title": "Businesses, users and checkin data",
      "comment_count": 1,
      "views": 872,
      "votes": null
    },
    {
      "id": 4184,
      "title": "Score under 0.45 with train dataset",
      "comment_count": 3,
      "views": 2274,
      "votes": null
    },
    {
      "id": 4248,
      "title": "Problem about predict() function in R",
      "comment_count": 6,
      "views": 3553,
      "votes": null
    },
    {
      "id": 4239,
      "title": "Checkins data",
      "comment_count": 2,
      "views": 1057,
      "votes": null
    },
    {
      "id": 4225,
      "title": "How you can leverage PostgreSQL for this competition",
      "comment_count": 0,
      "views": 954,
      "votes": 2
    },
    {
      "id": 4116,
      "title": "Convesio  of json files to csv or R data format",
      "comment_count": 19,
      "views": 14018,
      "votes": null
    },
    {
      "id": 4206,
      "title": "data in the training set can't find matched user_id?",
      "comment_count": 2,
      "views": 1038,
      "votes": null
    },
    {
      "id": 4130,
      "title": "Some User_ids in review set do not appear in training user.json",
      "comment_count": 5,
      "views": 2096,
      "votes": 1
    },
    {
      "id": 4157,
      "title": "Data Format of checkin entries",
      "comment_count": 6,
      "views": 2087,
      "votes": null
    },
    {
      "id": 4174,
      "title": "business_id, user_id and review_id mutually exclusive?",
      "comment_count": 2,
      "views": 1326,
      "votes": null
    },
    {
      "id": 4163,
      "title": "It should be better that Yelp provides benchmark solution with codes",
      "comment_count": 1,
      "views": 1372,
      "votes": null
    },
    {
      "id": 4160,
      "title": "Error when I unzip the training data file",
      "comment_count": 5,
      "views": 2129,
      "votes": null
    },
    {
      "id": 4148,
      "title": "Converting test dataset with convert.py",
      "comment_count": 2,
      "views": 1403,
      "votes": null
    },
    {
      "id": 4145,
      "title": "Completeness of checkin data",
      "comment_count": 1,
      "views": 946,
      "votes": null
    },
    {
      "id": 4120,
      "title": "a question",
      "comment_count": 3,
      "views": 1731,
      "votes": null
    },
    {
      "id": 4135,
      "title": "The purpose of predicting usefulness and way to evalute the prediction",
      "comment_count": 1,
      "views": 1640,
      "votes": 1
    },
    {
      "id": 4127,
      "title": "Useful vote definition not clear",
      "comment_count": 3,
      "views": 1519,
      "votes": null
    },
    {
      "id": 4126,
      "title": "make the offical rules public?",
      "comment_count": 2,
      "views": 1227,
      "votes": null
    },
    {
      "id": 4112,
      "title": "CHECKIN?",
      "comment_count": 2,
      "views": 1573,
      "votes": null
    }
  ],
  "errors": []
}