{
  "fields": [{"type":"int","id":"_id"},{"type":"text","id":"city"},{"type":"text","id":"regione"},{"type":"numeric","id":"Milano Scoreboard edition"},{"type":"text","id":"X1 = reputation of the city on Google"},{"type":"text","id":"X2 = reputation on Google for business, industrial and fin_4"},{"type":"text","id":"X3 = reputation on Google for shopping"},{"type":"numeric","id":"x1_anno"},{"type":"numeric","id":"x2_anno"},{"type":"numeric","id":"x3_anno"},{"type":"text","id":"x1_città/regione"},{"type":"text","id":"x2_città/regione"},{"type":"text","id":"x3_città/regione"},{"type":"text","id":"x1_geo"},{"type":"text","id":"x2_geo"},{"type":"text","id":"x3_geo"},{"type":"text","id":"x1_fonte"},{"type":"text","id":"x2_fonte"},{"type":"text","id":"x3_fonte"},{"type":"text","id":"x1_note"},{"type":"text","id":"x2_note"},{"type":"text","id":"x3_note"},{"type":"text","id":"X1 indice (media=1)"},{"type":"text","id":"X2 indice (media=1)"},{"type":"text","id":"X3 indice (media=1)"},{"type":"text","id":"Score di dimensione (media X123 indicizzati)"}],
  "records": [
    [1,"Milano","Lombardia",2019,"83,6","100","100",2018,2018,2018,"Milano","Milano","Milano","city","city","city","PTS Clas on Google Trends data","PTS Clas on Google Trends data","PTS Clas on Google Trends data","average number of queries on Google Trends about the city. Data are benchmarked to the city with the highest average","average number of queries on Google Trends under the categories \"Business & Industrial\" and \"Finance\" with reference to the city. Data are benchmarked to the city with the highest average","average number of queries on Google Trends under the category \"Shopping\" with reference to the city. Data are benchmarked to the city with the highest average","1,2751677852349","1,39082058414465","1,45518044237485","1,37372293725147"],
    [2,"Barcelona","Cataluña",2019,"100","82,4","86,9",2018,2018,2018,"Barcelona","Barcelona","Barcelona","city","city","city","PTS Clas on Google Trends data","PTS Clas on Google Trends data","PTS Clas on Google Trends data","average number of queries on Google Trends about the city. Data are benchmarked to the city with the highest average","average number of queries on Google Trends under the categories \"Business & Industrial\" and \"Finance\" with reference to the city. Data are benchmarked to the city with the highest average","average number of queries on Google Trends under the category \"Shopping\" with reference to the city. Data are benchmarked to the city with the highest average","1,52532031726663","1,14603616133519","1,26455180442375","1,31196942767519"],
    [3,"Lyon","Rhône-Alpes",2019,"36,5","44,7","40,5",2018,2018,2018,"Lyon","Lyon","Lyon","city","city","city","PTS Clas on Google Trends data","PTS Clas on Google Trends data","PTS Clas on Google Trends data","average number of queries on Google Trends about the city. Data are benchmarked to the city with the highest average","average number of queries on Google Trends under the categories \"Business & Industrial\" and \"Finance\" with reference to the city. Data are benchmarked to the city with the highest average","average number of queries on Google Trends under the category \"Shopping\" with reference to the city. Data are benchmarked to the city with the highest average","0,556741915802318","0,621696801112656","0,589348079161816","0,58926226535893"],
    [4,"München","Bayern",2019,"77,4","93,6","86,4",2018,2018,2018,"München","München","München","city","city","city","PTS Clas on Google Trends data","PTS Clas on Google Trends data","PTS Clas on Google Trends data","average number of queries on Google Trends about the city. Data are benchmarked to the city with the highest average","average number of queries on Google Trends under the categories \"Business & Industrial\" and \"Finance\" with reference to the city. Data are benchmarked to the city with the highest average","average number of queries on Google Trends under the category \"Shopping\" with reference to the city. Data are benchmarked to the city with the highest average","1,18059792556437","1,30180806675939","1,25727590221187","1,24656063151188"],
    [5,"Stuttgart","Baden-Württemberg",2019,"30,3","38,8","29,8",2018,2018,2018,"Stuttgart","Stuttgart","Stuttgart","city","city","city","PTS Clas on Google Trends data","PTS Clas on Google Trends data","PTS Clas on Google Trends data","average number of queries on Google Trends about the city. Data are benchmarked to the city with the highest average","average number of queries on Google Trends under the categories \"Business & Industrial\" and \"Finance\" with reference to the city. Data are benchmarked to the city with the highest average","average number of queries on Google Trends under the category \"Shopping\" with reference to the city. Data are benchmarked to the city with the highest average","0,462172056131788","0,539638386648122","0,433643771827707","0,478484738202539"],
    [6,"Milano","Lombardia",2018,"71,7","88,2","94,4",2017,2017,2017,"Milano","Milano","Milano","city","city","city","Gruppo Clas on Google Trends data","Gruppo Clas on Google Trends data","Gruppo Clas on Google Trends data","average number of queries on Google Trends about the city. Data are benchmarked to the city with the highest average","average number of queries on Google Trends under the categories \"Business & Industrial\" and \"Finance\" with reference to the city. Data are benchmarked to the city with the highest average","average number of queries on Google Trends under the category \"Shopping\" with reference to the city. Data are benchmarked to the city with the highest average","1,07689996996095","1,21487603305785","1,24966904951019","1,18048168417633"],
    [7,"Barcelona","Cataluña",2018,"100","78,3","92,7",2017,2017,2017,"Barcelona","Barcelona","Barcelona","city","city","city","Gruppo Clas on Google Trends data","Gruppo Clas on Google Trends data","Gruppo Clas on Google Trends data","average number of queries on Google Trends about the city. Data are benchmarked to the city with the highest average","average number of queries on Google Trends under the categories \"Business & Industrial\" and \"Finance\" with reference to the city. Data are benchmarked to the city with the highest average","average number of queries on Google Trends under the category \"Shopping\" with reference to the city. Data are benchmarked to the city with the highest average","1,50195253829979","1,07851239669421","1,22716441620334","1,26920978373245"],
    [8,"Lyon","Rhône-Alpes",2018,"42","51,7","49,7",2017,2017,2017,"Lyon","Lyon","Lyon","city","city","city","Gruppo Clas on Google Trends data","Gruppo Clas on Google Trends data","Gruppo Clas on Google Trends data","average number of queries on Google Trends about the city. Data are benchmarked to the city with the highest average","average number of queries on Google Trends under the categories \"Business & Industrial\" and \"Finance\" with reference to the city. Data are benchmarked to the city with the highest average","average number of queries on Google Trends under the category \"Shopping\" with reference to the city. Data are benchmarked to the city with the highest average","0,630820066085912","0,712121212121212","0,657929573735769","0,666956950647631"],
    [9,"München","Bayern",2018,"83,1","100","100",2017,2017,2017,"München","München","München","city","city","city","Gruppo Clas on Google Trends data","Gruppo Clas on Google Trends data","Gruppo Clas on Google Trends data","average number of queries on Google Trends about the city. Data are benchmarked to the city with the highest average","average number of queries on Google Trends under the categories \"Business & Industrial\" and \"Finance\" with reference to the city. Data are benchmarked to the city with the highest average","average number of queries on Google Trends under the category \"Shopping\" with reference to the city. Data are benchmarked to the city with the highest average","1,24812255932713","1,37741046831956","1,3238019592269","1,31644499562453"],
    [10,"Stuttgart","Baden-Württemberg",2018,"36,1","44,8","40,9",2017,2017,2017,"Stuttgart","Stuttgart","Stuttgart","city","city","city","Gruppo Clas on Google Trends data","Gruppo Clas on Google Trends data","Gruppo Clas on Google Trends data","average number of queries on Google Trends about the city. Data are benchmarked to the city with the highest average","average number of queries on Google Trends under the categories \"Business & Industrial\" and \"Finance\" with reference to the city. Data are benchmarked to the city with the highest average","average number of queries on Google Trends under the category \"Shopping\" with reference to the city. Data are benchmarked to the city with the highest average","0,542204866326224","0,617079889807163","0,541435001323802","0,566906585819063"],
    [11,"Milano","",2017,"85,1","100","100",2016,2016,2016,"Milano","Milano","Milano","city","city","city","Gruppo Clas on Google Trends data","Gruppo Clas on Google Trends data","Gruppo Clas on Google Trends data","average number of queries on Google Trends about the city. Data are benchmarked to the city with the highest average","average number of queries on Google Trends under the categories \"Business & Industrial\" and \"Finance\" with reference to the city. Data are benchmarked to the city with the highest average","average number of queries on Google Trends under the category \"Shopping\" with reference to the city. Data are benchmarked to the city with the highest average","1,17769166897315","1,20365912373616","1,2950012950013","1,22545069590353"],
    [12,"Barcelona","",2017,"100","99,9","96,5",2016,2016,2016,"Barcelona","Barcelona","Barcelona","city","city","city","Gruppo Clas on Google Trends data","Gruppo Clas on Google Trends data","Gruppo Clas on Google Trends data","average number of queries on Google Trends about the city. Data are benchmarked to the city with the highest average","average number of queries on Google Trends under the categories \"Business & Industrial\" and \"Finance\" with reference to the city. Data are benchmarked to the city with the highest average","average number of queries on Google Trends under the category \"Shopping\" with reference to the city. Data are benchmarked to the city with the highest average","1,38389150290617","1,20245546461242","1,24967624967625","1,27867440573161"],
    [13,"Lyon","",2017,"48,1","68,4","52,2",2016,2016,2016,"Lyon","Lyon","Lyon","city","city","city","Gruppo Clas on Google Trends data","Gruppo Clas on Google Trends data","Gruppo Clas on Google Trends data","average number of queries on Google Trends about the city. Data are benchmarked to the city with the highest average","average number of queries on Google Trends under the categories \"Business & Industrial\" and \"Finance\" with reference to the city. Data are benchmarked to the city with the highest average","average number of queries on Google Trends under the category \"Shopping\" with reference to the city. Data are benchmarked to the city with the highest average","0,665651812897869","0,823302840635532","0,675990675990676","0,721648443174692"],
    [14,"München","",2017,"88,5","97,1","96,4",2016,2016,2016,"München","München","München","city","city","city","Gruppo Clas on Google Trends data","Gruppo Clas on Google Trends data","Gruppo Clas on Google Trends data","average number of queries on Google Trends about the city. Data are benchmarked to the city with the highest average","average number of queries on Google Trends under the categories \"Business & Industrial\" and \"Finance\" with reference to the city. Data are benchmarked to the city with the highest average","average number of queries on Google Trends under the category \"Shopping\" with reference to the city. Data are benchmarked to the city with the highest average","1,22474398007196","1,16875300914781","1,24838124838125","1,21395941253367"],
    [15,"Stuttgart","",2017,"39,6","50","41",2016,2016,2016,"Stuttgart","Stuttgart","Stuttgart","city","city","city","Gruppo Clas on Google Trends data","Gruppo Clas on Google Trends data","Gruppo Clas on Google Trends data","average number of queries on Google Trends about the city. Data are benchmarked to the city with the highest average","average number of queries on Google Trends under the categories \"Business & Industrial\" and \"Finance\" with reference to the city. Data are benchmarked to the city with the highest average","average number of queries on Google Trends under the category \"Shopping\" with reference to the city. Data are benchmarked to the city with the highest average","0,548021035150844","0,601829561868079","0,530950530950531","0,560267042656485"]
]}