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Full Version: WSPR data - VK4ADC
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I have been running my low power VK4ADC Raspberry Pi-based WSPR beacon since last December (2018), initially just on 6M then expanding it to cover 30 / 20 / 17 /15 plus 6M back around January/February 2019.

I use my WSPRView software to manually retrieve all of my spots from WSPRNET.org every few days and it all adds to a large data file each time.  Today I took the time to process it to make it provide some details about who, where and what bands have been used to hear this WSPR beacon and I was somewhat astounded to find that there were now 98000-odd reports present.

Those reports are spread across all of the bands used but the numbers of 30M reports are astounding, nearly 47000 - or half of the total reports saved.
Spotter    ,    30M,    20M,    17M,    15M,    6M,  Error,Grid  ,    KM,
Totals      ,  46680,  35608,  7692,  1858,  6213,    61,      ,      ,

The 61 marked as errors are because they did not get recorded against the correct band etc.. Finger trouble at the spotter's end.

"Record Count:98127, Unique callsigns: 610
Start:2018-12-10 10:54, Finish: 2019-08-13 23:54"

The data file starts...
Spotter    ,    30M,    20M,    17M,    15M,    6M,  Error,Grid  ,    KM,
2E0NGV      ,      5,      ,      ,      ,      ,      ,IO82tc ,  16619,
3D2AG      ,      ,      ,      ,      ,      4,      ,RH91fv ,  2815,
5Q9T        ,      3,      ,      ,      ,      ,      ,JO65eg ,  15626,
7L1PGF      ,      1,      1,      ,      ,      ,      ,PM96re ,  7246,
7L4IOU      ,    10,      2,    21,    16,      ,      ,PM95wr ,  7188,
9M2CNC      ,      6,      ,      ,      ,      ,      ,OJ03  ,  6555,
AA7NM      ,    36,      ,      ,      ,      ,      ,CN86ox ,  11813,
AA7US      ,      8,      ,      ,      ,      ,      ,DM22rv ,  11850,
AB0VX      ,      2,      2,      ,      ,      ,      ,EN21cj ,  13705,
AB4KB      ,      6,      ,      ,      ,      ,      ,FM06kb ,  15070,
.......

For those of you who want to see if your callsign is listed as a spotter, the today's data extract is here (and is better formatted) :
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