🐒 5 / 30 / 2017 STEEMIT NEWS FLASH :

🐒 Number Of Accounts Powering Down Out Of Top 1000 Accounts since 12 / 11 / 2016 see ( chart # 1 )

🐒 Number Of Accounts Powering Down Out Of Top 1000 Accounts last 20 days see ( chart # 2 )

🐒 Number Of Accounts Powering Down Out Of Top 1000 Accounts since 12 / 11 / 2016 Column Chart see ( chart # 3 )

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Accounts Powering Down numbers spreadsheet
Highest = 🐒 🐒
Lowest = 🐒

DATE	Number Powering Down
12/11/2016	350
12/12/2016	355
12/13/2016	362
12/14/2016	361
12/15/2016	361
12/16/2016	371
12/17/2016	369
12/18/2016	374
12/19/2016	370
12/20/2016	366
12/21/2016	367
12/22/2016	366
12/23/2016	369
12/24/2016 🐒 🐒	374 🐒 🐒
12/25/2016	373
12/26/2016	371
12/27/2016	371
12/28/2016	369
12/29/2016	368
12/30/2016	365
12/31/2016	366
1/01/2017	364
1/02/2017	362
1/03/2017	366
1/04/2017	365
1/05/2017	367
1/06/2017	367
1/07/2017	363
1/8/2017	362
1/9/2017	360
1/10/2017	360
1/11/2017	360
1/12/2017	358
1/13/2017	356
1/14/2017	357
1/15/2017	356
1/16/2017	356
1/17/2017	357
1/18/2017	360
1/19/2017	356
1/20/2017	356
1/21/2017	356
1/22/2017	355
1/23/2017	355
1/24/2017	356
1/25/2017	351
1/26/2017	351
1/27/2017	346
1/28/2017	345
1/29/2017	344
1/30/2017	341
1/31/2017	342
2/01/2017	339
2/02/2017	339
2/03/2016	340
2/04/2017	342
2/05/2017	342
2/06/2017	341
2/07/2017	336
2/08/2017	341
2/09/2017	341
2/10/2017	340
2/11/2017	338
2/12/2017	339
2/13/2017	339
2/14/2017	340
2/15/2017	339
2/16/2017	337
2/17/2017	339
2/18/2017	336
2/19/2017	339
2/20/2017	341
2/21/2017	341
2/22/2017	340
2/23/2017	339
2/24/2017	338
2/25/2017	336
2/26/2017	335
2/27/2017	332
2/28/2017	336
3/01/2017	333
3/02/2017	328
3/03/2017	329
3/04/2017	327
3/05/2017	326
3/06/2017	325
3/07/2017	324
3/08/2017	323
3/09/2017	323
3/10/2017	323
3/11/2017	298
3/12/2017	253
3/13/2017 🐒	217 🐒
3/14/2017	313
3/15/2017	304
3/16/2017	301
3/17/2017	300
3/18/2017	301
3/19/2017	315
3/20/2017	311
3/21/2017	311
3/22/2017	308
3/23/2017	304
3/24/2017	300
3/25/2017	298
3/26/2017	294
3/27/2017	291
3/28/2017	290
3/29/2017	291
3/30/2017	289
3/31/2017	289
4/01/2017	286
4/02/2017	282
4/03/2017	282
4/04/2017	283
4/05/2017	286
4/06/2017	289
4/07/2017	290
4/08/2017	290
4/09/2017	289
4/10/2017	284
4/11/2017	282
4/12/2017	281
4/13/2017	281
4/14/2017	283
4/15/2017	281
4/16/2017	284
4/17/2017	285
4/18/2017	291
4/19/2017	295
4/20/2017	292
4/21/2017	292
4/22/2017	294
4/23/2017	288
4/24/2017	286
4/25/2017	290
4/26/2017	288
4/27/2017	294
4/28/2017	291
4/29/2017	288
4/30/2017	290
5/01/2017	290
5/02/2017	285
5/03/2017	282
5/04/2017	282
5/05/2017	283
5/06/2017	283
5/07/2017	289
5/08/2017	300
5/09/2017	328
5/10/2017	338
5/11/2017	341
5/12/2017	343
5/13/2017	343
5/14/2017	345
5/15/2017	339
5/16/2017	327
5/17/2017	328
5/18/2017	331
5/19/2017	337
5/20/2017	341
5/21/2017	343
5/22/2017	347
5/23/2017	343
5/24/2017	342
5/25/2017	344
5/26/2017	340
5/27/2017	341
5/28/2017	340
5/29/2017	334
5/30/2017	328

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I like applying data to charts . By applying data to charts it can reveal a much clearer picture .

CHART # 1 LINE CHART DAILY
BLUE LINE = Number Of Accounts Powering Down Out Of Top 1000 Accounts
12 / 11 / 2016 to 5 / 30 / 2017

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CHART # 2 LINE CHART DAILY
BLUE LINE = Number Of Accounts Powering Down Out Of Top 1000 Accounts
LAST 20 DAYS

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CHART #3 COLUMN CHART
BLUE COLUMN = Number Of Accounts Powering Down Out Of Top 1000 Accounts
12 / 11 / 2016 to 5 / 30 / 2017

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SUMMARY:
Applying data to charts can give a clear view of trends when they develop .

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