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Earn a 50% discount on the DP-600 certification exam by completing the Fabric 30 Days to Learn It challenge.

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Anonymous
Not applicable

Issue with pivot table in excel when getting data from Power BI

My goal is to let other members in the company be able to get the source data any time they want,

 

so I publish my dashboard to the workspace, and testing it from excel with reference from here.

 

The issue appeared while I was trying to explore the data in excel that I can't drag the value into value area:

 

not allowed to drag data herenot allowed to drag data here

 

here is the original format of the table in power bi:

original table in pbioriginal table in pbi 

 

Same table structure works fine if I paste the table directly into excel file:

pbi_issue1-4.PNG

 

Here is the sample data:

 

#current_pop_date,city_id,city_name,population,pop_change_per_thousand,household,hh_change_per_thousand
2015/1/1,1,全國,23440278,2.6848,8388883,11.8993
2015/1/1,2,臺北市,2704133,5.9495,1037834,10.5452
2015/1/1,3,新北市,3967571,2.9815,1497722,13.0133
2015/1/1,4,桃園市,2061501,8.1394,734191,23.6693
2015/1/1,11,新竹縣,537907,13.2327,179404,24.6973
2015/1/1,9,新竹市,432259,7.9868,155296,19.4508
2015/1/1,5,臺中市,2721709,6.9514,913340,16.9329
2015/1/1,6,臺南市,1884641,0.7381,668414,7.514
2015/1/1,7,高雄市,2779355,-0.1565,1065667,8.5307
2015/2/1,1,全國,23445534,2.8404,8393138,11.9787
2015/2/1,2,臺北市,2705113,5.8699,1038197,10.6684
2015/2/1,3,新北市,3967419,2.9266,1498285,12.9543
2015/2/1,4,桃園市,2065966,10.0997,735193,24.1868
2015/2/1,11,新竹縣,537978,12.5635,179594,24.6004
2015/2/1,9,新竹市,432366,7.8039,155394,19.5921
2015/2/1,5,臺中市,2723479,7.1777,914122,16.8254
2015/2/1,6,臺南市,1884863,0.9718,668730,7.723
2015/2/1,7,高雄市,2779527,-0.0453,1066150,8.732
2015/3/1,1,全國,23449287,2.9809,8402104,12.2334
2015/3/1,2,臺北市,2705958,5.8456,1039180,10.8912
2015/3/1,3,新北市,3965649,2.5937,1499369,12.8415
2015/3/1,4,桃園市,2072736,13.161,737120,25.2929
2015/3/1,11,新竹縣,538071,11.9385,179934,24.862
2015/3/1,9,新竹市,432456,7.558,155585,19.7748
2015/3/1,5,臺中市,2725497,7.5536,915732,17.22
2015/3/1,6,臺南市,1885106,1.0775,669249,7.94
2015/3/1,7,高雄市,2779136,0.1681,1066924,8.9631
2015/4/1,1,全國,23452387,2.9696,8410079,12.2332
2015/4/1,2,臺北市,2705949,5.4315,1040094,10.7902
2015/4/1,3,新北市,3964888,2.5242,1500880,12.7771
2015/4/1,4,桃園市,2077929,15.3341,738778,25.7116
2015/4/1,11,新竹縣,538153,10.6653,180218,24.5713
2015/4/1,9,新竹市,432559,7.3099,155773,19.6303
2015/4/1,5,臺中市,2727460,7.8527,917011,17.1866
2015/4/1,6,臺南市,1885287,1.1603,669552,7.7544
2015/4/1,7,高雄市,2778914,0.2815,1067459,9.052
2015/5/1,1,全國,23456545,2.9787,8419246,11.8452
2015/5/1,2,臺北市,2705921,5.1197,1040859,10.2142
2015/5/1,3,新北市,3965926,2.5104,1502618,11.9185
2015/5/1,4,桃園市,2082165,16.7645,740590,25.231
2015/5/1,11,新竹縣,538712,10.0326,180738,24.4757
2015/5/1,9,新竹市,432692,7.0708,156035,18.5052
2015/5/1,5,臺中市,2729291,8.1888,918547,17.2351
2015/5/1,6,臺南市,1885240,1.2614,669850,7.3675
2015/5/1,7,高雄市,2778793,0.4961,1068314,8.9856
2015/6/1,1,全國,23461562,2.9722,8427075,11.6994
2015/6/1,2,臺北市,2706030,4.5878,1041379,9.6116
2015/6/1,3,新北市,3966052,2.3565,1503844,11.5207
2015/6/1,4,桃園市,2086081,18.0926,742046,25.261
2015/6/1,11,新竹縣,539173,9.9691,181120,24.249
2015/6/1,9,新竹市,432860,6.5552,156266,17.635
2015/6/1,5,臺中市,2731500,8.5521,920195,17.7088
2015/6/1,6,臺南市,1885376,1.2395,670228,7.1907
2015/6/1,7,高雄市,2778835,0.5541,1069177,9.1574
2015/7/1,1,全國,23461708,2.7115,8433668,11.3413
2015/7/1,2,臺北市,2703444,3.1232,1041195,8.1762
2015/7/1,3,新北市,3966071,2.048,1504931,11.0325
2015/7/1,4,桃園市,2089553,18.9959,743618,24.9562
2015/7/1,11,新竹縣,539620,9.5923,181435,23.6454
2015/7/1,9,新竹市,432966,6.2074,156462,16.9842
2015/7/1,5,臺中市,2733761,8.8558,921667,17.7272
2015/7/1,6,臺南市,1885077,1.1317,670583,7.14
2015/7/1,7,高雄市,2778276,0.373,1069713,8.8634
2015/8/1,1,全國,23465003,2.5961,8444518,10.8069
2015/8/1,2,臺北市,2701571,2.4356,1041891,7.3432
2015/8/1,3,新北市,3966533,1.6864,1506779,10.1607
2015/8/1,4,桃園市,2092977,19.7064,745438,23.9716
2015/8/1,11,新竹縣,540193,9.1275,181903,23.0477
2015/8/1,9,新竹市,433091,5.6822,156725,16.2233
2015/8/1,5,臺中市,2736813,9.4277,923740,17.6834
2015/8/1,6,臺南市,1885079,0.8644,671258,6.6524
2015/8/1,7,高雄市,2777948,0.2268,1070753,8.4148
2015/9/1,1,全國,23468748,2.4975,8459688,10.3623
2015/9/1,2,臺北市,2700115,1.6567,1043493,6.3807
2015/9/1,3,新北市,3967483,1.5421,1509592,9.5964
2015/9/1,4,桃園市,2096432,20.529,747932,23.3462
2015/9/1,11,新竹縣,540605,8.3826,182414,21.5609
2015/9/1,9,新竹市,433348,5.3801,157297,15.7565
2015/9/1,5,臺中市,2738553,9.4381,925847,17.326
2015/9/1,6,臺南市,1885037,0.8198,672047,6.4019
2015/9/1,7,高雄市,2777870,0.1473,1072321,8.0156
2015/10/1,1,全國,23476640,2.5419,8461618,10.3995
2015/10/1,2,臺北市,2701514,1.4346,1043434,6.1588
2015/10/1,3,新北市,3968921,1.5143,1509904,9.5897
2015/10/1,4,桃園市,2099583,21.5661,748643,23.7209
2015/10/1,11,新竹縣,541078,8.4598,182596,21.6647
2015/10/1,9,新竹市,433581,5.2048,157434,16.4902
2015/10/1,5,臺中市,2740634,9.5747,926474,17.5185
2015/10/1,6,臺南市,1885175,0.8564,671971,6.3212
2015/10/1,7,高雄市,2778249,0.1714,1072344,7.9643
2015/11/1,1,全國,23483793,2.5263,8465553,10.7547
2015/11/1,2,臺北市,2702809,1.0066,1043797,6.3546
2015/11/1,3,新北市,3969855,1.4846,1510494,9.9687
2015/11/1,4,桃園市,2102513,22.4873,749535,24.4616
2015/11/1,11,新竹縣,541527,8.5166,182834,22.8476
2015/11/1,9,新竹市,433774,5.0347,157515,16.7506
2015/11/1,5,臺中市,2742503,9.5734,927233,17.9753
2015/11/1,6,臺南市,1885390,0.8207,672188,6.7789
2015/11/1,7,高雄市,2778512,0.1285,1072598,8.132
2015/12/1,1,全國,23492074,2.4888,8468978,10.2925
2015/12/1,2,臺北市,2704810,0.9233,1043948,6.31
2015/12/1,3,新北市,3970644,0.9645,1510900,9.2731
2015/12/1,4,桃園市,2105780,23.0537,750501,23.8703
2015/12/1,11,新竹縣,542042,8.2064,183110,22.1215
2015/12/1,9,新竹市,434060,4.7964,157586,15.773
2015/12/1,5,臺中市,2744445,9.0483,927901,17.0952
2015/12/1,6,臺南市,1885541,0.6671,672325,6.455
2015/12/1,7,高雄市,2778918,-0.0266,1072939,7.7696
2016/1/1,1,全國,23496068,2.3801,8471543,9.8535
2016/1/1,2,臺北市,2704974,0.311,1043859,5.8054
2016/1/1,3,新北市,3971250,0.9273,1511307,9.0704
2016/1/1,4,桃園市,2108786,22.9372,751269,23.261
2016/1/1,11,新竹縣,542513,8.5628,183398,22.2626
2016/1/1,9,新竹市,434258,4.6245,157640,15.0938
2016/1/1,5,臺中市,2746112,8.9661,928435,16.5273
2016/1/1,6,臺南市,1885550,0.4823,672518,6.1399
2016/1/1,7,高雄市,2778729,-0.2252,1073237,7.1035
2016/2/1,1,全國,23496935,2.1924,8473964,9.63
2016/2/1,2,臺北市,2704410,-0.2599,1043835,5.4306
2016/2/1,3,新北市,3971660,1.069,1511594,8.8828
2016/2/1,4,桃園市,2111148,21.8697,751967,22.8158
2016/2/1,11,新竹縣,542821,9.0022,183622,22.4284
2016/2/1,9,新竹市,434279,4.4245,157681,14.7174
2016/2/1,5,臺中市,2747561,8.8424,929158,16.4486
2016/2/1,6,臺南市,1885453,0.313,672657,5.8723
2016/2/1,7,高雄市,2778574,-0.3429,1073422,6.8208
2016/3/1,1,全國,23496813,2.0268,8479633,9.2273
2016/3/1,2,臺北市,2704495,-0.5407,1044184,4.8153
2016/3/1,3,新北市,3970790,1.2964,1512390,8.6843
2016/3/1,4,桃園市,2114172,19.991,753275,21.9164
2016/3/1,11,新竹縣,543183,9.5006,183969,22.4249
2016/3/1,9,新竹市,434492,4.708,157877,14.7315
2016/3/1,5,臺中市,2748799,8.5496,930242,15.8452
2016/3/1,6,臺南市,1885157,0.0271,672858,5.3926
2016/3/1,7,高雄市,2778240,-0.3224,1074044,6.6734
2016/4/1,1,全國,23499404,2.0048,8484626,8.864
2016/4/1,2,臺北市,2703829,-0.7835,1044441,4.1794
2016/4/1,3,新北市,3971000,1.5415,1513013,8.0839
2016/4/1,4,桃園市,2116988,18.7971,754504,21.2865
2016/4/1,11,新竹縣,543600,10.1217,184271,22.4894
2016/4/1,9,新竹市,434674,4.8895,158041,14.5596
2016/4/1,5,臺中市,2750322,8.3822,931077,15.339
2016/4/1,6,臺南市,1885252,-0.0186,673174,5.4096
2016/4/1,7,高雄市,2778107,-0.2904,1074436,6.5361
2016/5/1,1,全國,23503349,1.9953,8493007,8.761
2016/5/1,2,臺北市,2702930,-1.1054,1044858,3.842
2016/5/1,3,新北市,3972003,1.5323,1514464,7.8836
2016/5/1,4,桃園市,2120838,18.5735,756319,21.2385
2016/5/1,11,新竹縣,544198,10.1835,184776,22.3417
2016/5/1,9,新竹市,434955,5.23,158284,14.4134
2016/5/1,5,臺中市,2752413,8.4718,932542,15.236
2016/5/1,6,臺南市,1885199,-0.0217,673650,5.6729
2016/5/1,7,高雄市,2777784,-0.3631,1075353,6.5889
2016/6/1,1,全國,23508362,1.9948,8499758,8.6249
2016/6/1,2,臺北市,2702925,-1.1474,1045175,3.6452
2016/6/1,3,新北市,3972204,1.5512,1515318,7.6298
2016/6/1,4,桃園市,2124339,18.3397,757890,21.3518
2016/6/1,11,新竹縣,544624,10.1099,185128,22.129
2016/6/1,9,新竹市,435238,5.4937,158443,13.9314
2016/6/1,5,臺中市,2754191,8.3072,933760,14.7414
2016/6/1,6,臺南市,1885388,0.0064,674233,5.9756
2016/6/1,7,高雄市,2778092,-0.2674,1076120,6.4938
2016/7/1,1,全國,23514750,2.2608,8507475,8.7515
2016/7/1,2,臺北市,2701645,-0.6654,1045117,3.7668
2016/7/1,3,新北市,3973655,1.9122,1516639,7.7798
2016/7/1,4,桃園市,2128594,18.6839,759902,21.8983
2016/7/1,11,新竹縣,545204,10.348,185502,22.4157
2016/7/1,9,新竹市,435488,5.8249,158618,13.7797
2016/7/1,5,臺中市,2756256,8.2286,935002,14.4683
2016/7/1,6,臺南市,1885629,0.2928,674804,6.2945
2016/7/1,7,高雄市,2778285,0.0032,1077111,6.9159
2016/8/1,1,全國,23516841,2.2092,8520056,8.9452
2016/8/1,2,臺北市,2698591,-1.1031,1045651,3.6088
2016/8/1,3,新北市,3974278,1.9526,1518816,7.9886
2016/8/1,4,桃園市,2132854,19.0528,762740,23.2105
2016/8/1,11,新竹縣,545674,10.1464,185980,22.413
2016/8/1,9,新竹市,435805,6.2666,158924,14.0309
2016/8/1,5,臺中市,2758136,7.7912,937024,14.3807
2016/8/1,6,臺南市,1885601,0.2769,675666,6.5668
2016/8/1,7,高雄市,2778318,0.1332,1078635,7.3612
2016/9/1,1,全國,23519518,2.1633,8536883,9.125
2016/9/1,2,臺北市,2696316,-1.407,1046849,3.2161
2016/9/1,3,新北市,3974911,1.8722,1521700,8.0207
2016/9/1,4,桃園市,2136702,19.2088,765688,23.7401
2016/9/1,11,新竹縣,546272,10.4827,186738,23.7043
2016/9/1,9,新竹市,436220,6.6275,159587,14.5584
2016/9/1,5,臺中市,2759887,7.7902,939545,14.7951
2016/9/1,6,臺南市,1885499,0.2451,676638,6.8314
2016/9/1,7,高雄市,2778332,0.1663,1080508,7.6348
2016/10/1,1,全國,23526295,2.1151,8540340,9.3034
2016/10/1,2,臺北市,2696319,-1.923,1046417,2.8588
2016/10/1,3,新北市,3976313,1.8625,1522405,8.2793
2016/10/1,4,桃園市,2140392,19.4367,766901,24.3881
2016/10/1,11,新竹縣,546672,10.3386,186941,23.7957
2016/10/1,9,新竹市,436490,6.7092,159742,14.6601
2016/10/1,5,臺中市,2762699,8.0511,940831,15.4964
2016/10/1,6,臺南市,1885603,0.227,676758,7.1238
2016/10/1,7,高雄市,2778375,0.0454,1080598,7.6972
2016/11/1,1,全國,23532065,2.0555,8553994,10.4472
2016/11/1,2,臺北市,2695652,-2.648,1047103,3.1673
2016/11/1,3,新北市,3977905,2.0278,1525385,9.8584
2016/11/1,4,桃園市,2144044,19.753,769198,26.2336
2016/11/1,11,新竹縣,546934,9.9847,187215,23.9616
2016/11/1,9,新竹市,436877,7.1535,160192,16.9952
2016/11/1,5,臺中市,2764958,8.1878,943408,17.4444
2016/11/1,6,臺南市,1885653,0.1395,677690,8.1852
2016/11/1,7,高雄市,2778770,0.0929,1082096,8.8551
2016/12/1,1,全國,23539816,2.0323,8561383,10.911
2016/12/1,2,臺北市,2695704,-3.3666,1047284,3.1956
2016/12/1,3,新北市,3979208,2.1568,1526812,10.5315
2016/12/1,4,桃園市,2147763,19.937,770894,27.1725
2016/12/1,11,新竹縣,547481,10.0343,187439,23.6415
2016/12/1,9,新竹市,437337,7.5496,160460,18.2377
2016/12/1,5,臺中市,2767239,8.3055,944624,18.0224
2016/12/1,6,臺南市,1886033,0.2609,678158,8.6759
2016/12/1,7,高雄市,2779371,0.163,1083002,9.3789
2017/1/1,1,全國,23543346,2.0122,8565588,11.1013
2017/1/1,2,臺北市,2695371,-3.5501,1047393,3.3855
2017/1/1,3,新北市,3979963,2.194,1527589,10.7735
2017/1/1,4,桃園市,2150685,19.8688,771961,27.5427
2017/1/1,11,新竹縣,547794,9.7343,187644,23.1518
2017/1/1,9,新竹市,437753,8.0482,160630,18.9673
2017/1/1,5,臺中市,2769005,8.3365,945386,18.2576
2017/1/1,6,臺南市,1886075,0.2784,678421,8.7775
2017/1/1,7,高雄市,2779332,0.217,1083425,9.4928
2017/2/1,1,全國,23544189,2.0111,8571052,11.4572
2017/2/1,2,臺北市,2694195,-3.7772,1047528,3.5379
2017/2/1,3,新北市,3980317,2.1797,1528483,11.173
2017/2/1,4,桃園市,2153521,20.0711,773252,28.3058
2017/2/1,11,新竹縣,548090,9.7067,187910,23.3523
2017/2/1,9,新竹市,438018,8.6097,160796,19.7551
2017/2/1,5,臺中市,2770356,8.2964,946370,18.5243
2017/2/1,6,臺南市,1886160,0.375,678824,9.1681
2017/2/1,7,高雄市,2779052,0.172,1083940,9.7986
2017/3/1,1,全國,23545680,2.0797,8578609,11.6722
2017/3/1,2,臺北市,2693313,-4.1346,1048003,3.6574
2017/3/1,3,新北市,3980414,2.4237,1529672,11.4269
2017/3/1,4,桃園市,2156999,20.2571,774809,28.5872
2017/3/1,11,新竹縣,548418,9.6376,188212,23.0637
2017/3/1,9,新竹市,438322,8.8149,161044,20.0599
2017/3/1,5,臺中市,2772118,8.4833,947726,18.7951
2017/3/1,6,臺南市,1886368,0.6424,679301,9.5756
2017/3/1,7,高雄市,2778726,0.1749,1084777,9.9931
2017/4/1,1,全國,23547448,2.0445,8584702,11.795
2017/4/1,2,臺北市,2692118,-4.3313,1048379,3.7704
2017/4/1,3,新北市,3980867,2.4848,1530739,11.7157
2017/4/1,4,桃園市,2160035,20.3341,776323,28.9183
2017/4/1,11,新竹縣,548660,9.3083,188457,22.7165
2017/4/1,9,新竹市,438524,8.8572,161174,19.824
2017/4/1,5,臺中市,2773527,8.4372,948711,18.9394
2017/4/1,6,臺南市,1886636,0.7341,679754,9.7746
2017/4/1,7,高雄市,2778734,0.2257,1085256,10.0704
2017/5/1,1,全國,23550077,1.9881,8593794,11.8671
2017/5/1,2,臺北市,2690813,-4.4829,1049017,3.9804
2017/5/1,3,新北市,3982268,2.5843,1532655,12.0115
2017/5/1,4,桃園市,2163728,20.2231,778005,28.6731
2017/5/1,11,新竹縣,549118,9.0408,188914,22.3947
2017/5/1,9,新竹市,438863,8.9848,161520,20.4443
2017/5/1,5,臺中市,2775294,8.3131,950068,18.7938
2017/5/1,6,臺南市,1886473,0.6758,680185,9.7009
2017/5/1,7,高雄市,2778415,0.2272,1086107,10.0004
2017/6/1,1,全國,23552470,1.8763,8601551,11.976
2017/6/1,2,臺北市,2689845,-4.8392,1049354,3.9984
2017/6/1,3,新北市,3982434,2.5754,1533928,12.2813
2017/6/1,4,桃園市,2167616,20.372,779743,28.834
2017/6/1,11,新竹縣,549580,9.0999,189271,22.3791
2017/6/1,9,新竹市,439299,9.3305,161811,21.2569
2017/6/1,5,臺中市,2776579,8.1287,951383,18.8732
2017/6/1,6,臺南市,1886502,0.5909,680737,9.6465
2017/6/1,7,高雄市,2778023,-0.0248,1087007,10.1169
2017/7/1,1,全國,23554803,1.7033,8609154,11.9517
2017/7/1,2,臺北市,2687629,-5.188,1049309,4.011
2017/7/1,3,新北市,3984051,2.6162,1535562,12.4769
2017/7/1,4,桃園市,2171127,19.9817,781687,28.6682
2017/7/1,11,新竹縣,550070,8.9251,189619,22.1938
2017/7/1,9,新竹市,439435,9.0634,161970,21.1325
2017/7/1,5,臺中市,2778182,7.955,952503,18.7176
2017/7/1,6,臺南市,1886267,0.3383,681214,9.4991
2017/7/1,7,高雄市,2777873,-0.1483,1087963,10.0751
2017/8/1,1,全國,23556169,1.6723,8622546,12.0293
2017/8/1,2,臺北市,2685202,-4.9615,1049953,4.1142
2017/8/1,3,新北市,3984720,2.6274,1537861,12.5394
2017/8/1,4,桃園市,2174895,19.7111,784383,28.3753
2017/8/1,11,新竹縣,550621,9.0659,190085,22.0723
2017/8/1,9,新竹市,439747,9.0453,162352,21.5701
2017/8/1,5,臺中市,2780155,7.9833,954403,18.547
2017/8/1,6,臺南市,1886145,0.2885,682167,9.6216
2017/8/1,7,高雄市,2777564,-0.2714,1089725,10.2815
2017/9/1,1,全國,23557467,1.6135,8636922,11.7184
2017/9/1,2,臺北市,2682893,-4.9783,1050873,3.8439
2017/9/1,3,新北市,3984975,2.5319,1540500,12.3546
2017/9/1,4,桃園市,2178458,19.5423,786938,27.7528
2017/9/1,11,新竹縣,551201,9.023,190656,20.9813
2017/9/1,9,新竹市,440098,8.89,162832,20.3337
2017/9/1,5,臺中市,2781498,7.8304,956251,17.7809
2017/9/1,6,臺南市,1886088,0.3124,683188,9.6802
2017/9/1,7,高雄市,2777021,-0.4719,1091278,9.9675
2017/10/1,1,全國,23562318,1.5312,8638730,11.5206
2017/10/1,2,臺北市,2683202,-4.8648,1050509,3.9105
2017/10/1,3,新北市,3985698,2.3602,1540904,12.1512
2017/10/1,4,桃園市,2181470,19.1918,787671,27.083
2017/10/1,11,新竹縣,551447,8.7347,190746,20.354
2017/10/1,9,新竹市,440409,8.9784,162915,19.8633
2017/10/1,5,臺中市,2783298,7.4561,956889,17.0679
2017/10/1,6,臺南市,1886387,0.4158,683336,9.7199
2017/10/1,7,高雄市,2776791,-0.5701,1091320,9.9223
2017/11/1,1,全國,23566853,1.4783,8643820,10.5011
2017/11/1,2,臺北市,2683321,-4.5744,1050593,3.333
2017/11/1,3,新北市,3986291,2.1081,1542120,10.971
2017/11/1,4,桃園市,2184655,18.9413,789075,25.8412
2017/11/1,11,新竹縣,551816,8.9261,190932,19.8542
2017/11/1,9,新竹市,440717,8.7897,162992,17.479
2017/11/1,5,臺中市,2785159,7.3061,957971,15.4366
2017/11/1,6,臺南市,1886465,0.4306,683520,8.6028
2017/11/1,7,高雄市,2776846,-0.6924,1091722,8.8957
2017/12/1,1,全國,23571227,1.3344,8649000,10.234
2017/12/1,2,臺北市,2683257,-4.6173,1050755,3.3143
2017/12/1,3,新北市,3986689,1.88,1543098,10.6667
2017/12/1,4,桃園市,2188017,18.7423,790376,25.272
2017/12/1,11,新竹縣,552169,8.5629,191171,19.9105
2017/12/1,9,新竹市,441132,8.6775,163130,16.6397
2017/12/1,5,臺中市,2787070,7.1663,959023,15.2431
2017/12/1,6,臺南市,1886522,0.2593,683814,8.3402
2017/12/1,7,高雄市,2776912,-0.8847,1092219,8.5106
2018/1/1,1,全國,23572049,1.2192,8654346,10.3622

 

 

1 ACCEPTED SOLUTION
lbendlin
Super User
Super User

Power BI can use implicit measures, meaning it can do aggregations on numeric columns without any help.  "Analyze in Excel"  cannot do that, it needs explicit measures.

 

The remedy is relatively simple - create explicit measures for each of your values. I assume you want averages?

 

 

Avg pop change = AVERAGE('Table'[pop_change_per_thousand])

 

lbendlin_0-1631668123818.png

 

See attached 

View solution in original post

1 REPLY 1
lbendlin
Super User
Super User

Power BI can use implicit measures, meaning it can do aggregations on numeric columns without any help.  "Analyze in Excel"  cannot do that, it needs explicit measures.

 

The remedy is relatively simple - create explicit measures for each of your values. I assume you want averages?

 

 

Avg pop change = AVERAGE('Table'[pop_change_per_thousand])

 

lbendlin_0-1631668123818.png

 

See attached 

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