Zones and Distance in CQ WW: 2010

Using the data from the CQ WW public logs, we can examine the distribution of distance for QSOs as a function of zone.

Below is a series of figures showing this distribution integrated over all bands and, separately, band by band for the CQ WW SSB and CQ WW CW contests for 2010.

Each plot shows a colour-coded distribution of the distance of QSOs for each zone, with the data for SSB appearing above the data for CW within each zone.

For every half-QSO in a given zone, the distance of the QSO is calculated; in ths way, the total  number of half-QSOs in bins of width 500 km is accumulated. Once all the QSOs for a particular contest have been binned in this manner, the distribution for each zone is normalised to total 100% and the result coded by colour and plotted. The mean distance for each zone and mode is denoted by a small white rectangle added to the underlying distance distribution.

As usual, only QSOs for which logs have been provided by both parties, and which show no bust of either callsign or zone number are included. Bins coloured black are those for which no QSOs are present at the relevant distance.

The resulting plots are reproduced below. I find that they display in a compact format a wealth of data that is informative and often unexpected.

Video Maps of CQ WW CW QSOs, 2005 to 2018

I have updated the set of CQ WW video maps on my youtube channel (channel N7DR) to include the logs from the 2018 running of CQ WW CW. These video maps cover all the years for which public logs are currently available (2005 to 2018).

To access individual videos directly:

• 160m
• 80m
• 40m
• 20m
• 15m
• 10m

Zones and Distance in CQ WW: 2009

Using the data from the CQ WW public logs, we can examine the distribution of distance for QSOs as a function of zone.

Below is a series of figures showing this distribution integrated over all bands and, separately, band by band for the CQ WW SSB and CQ WW CW contests for 2009.

Each plot shows a colour-coded distribution of the distance of QSOs for each zone, with the data for SSB appearing above the data for CW within each zone.

For every half-QSO in a given zone, the distance of the QSO is calculated; in ths way, the total  number of half-QSOs in bins of width 500 km is accumulated. Once all the QSOs for a particular contest have been binned in this manner, the distribution for each zone is normalised to total 100% and the result coded by colour and plotted. The mean distance for each zone and mode is denoted by a small white rectangle added to the underlying distance distribution.

As usual, only QSOs for which logs have been provided by both parties, and which show no bust of either callsign or zone number are included. Bins coloured black are those for which no QSOs are present at the relevant distance.

The resulting plots are reproduced below. I find that they display in a compact format a wealth of data that is informative and often unexpected.

Zones and Distance in CQ WW: 2008

Using the data from the CQ WW public logs, we can examine the distribution of distance for QSOs as a function of zone.

Below is a series of figures showing this distribution integrated over all bands and, separately, band by band for the CQ WW SSB and CQ WW CW contests for 2008.

Each plot shows a colour-coded distribution of the distance of QSOs for each zone, with the data for SSB appearing above the data for CW within each zone.

For every half-QSO in a given zone, the distance of the QSO is calculated; in ths way, the total  number of half-QSOs in bins of width 500 km is accumulated. Once all the QSOs for a particular contest have been binned in this manner, the distribution for each zone is normalised to total 100% and the result coded by colour and plotted. The mean distance for each zone and mode is denoted by a small white rectangle added to the underlying distance distribution.

As usual, only QSOs for which logs have been provided by both parties, and which show no bust of either callsign or zone number are included. Bins coloured black are those for which no QSOs are present at the relevant distance.

The resulting plots are reproduced below. I find that they display in a compact format a wealth of data that is informative and often unexpected.

Cleaned and Augmented Logs for CQ WW CW and SSB Contests, 2005 to 2018

Cleaned and augmented versions of the logs for the CQ WW CW and SSB contests are now available for the period 2005 to 2018.

Links to the cleaned and augmented logs may be followed here.

The cleaned logs are the result of processing the QSO: lines from the entrants' submitted Cabrillo files to ensure that all fields contain valid values and all the data match the format required in the rules. Any line containing illegal data in a field (for example, a zone number greater than 40, or a date/time stamp that is outside the contest period) has simply been removed. Also, only the QSO: lines are retained, so that each line in the file can be processed easily. All zones are now rendered with two digits, so as to further simplify processing by scripts or programs.

The augmented logs contain the same information as the cleaned logs, but with the addition of some useful (derived) information on each line. The information added to each line comprises:

1. The sequence of four characters that are the same for each entry in a particular log:
•  a. letter "A" or "U" indicating "assisted" or "unassisted"
•  b. letter "Q", "L", "H" or "U", indicating respectively QRP, low power, high power or unknown power level
•  c. letter "S", "M", "C" or "U", indicating respectively a single-operator, multi-operator, checklog or unknown operator category [ the contest organisers have stated that checklogs are not made public, but in fact at least some of them from the early years have been, hence the need for the "C" category ]
•  d. character "1", "2", "+" or "U", indicating respectively that the number of transmitters is one, two, unlimited or unknown
2. A four-digit number representing the time if the contact in minutes measured from the start of the contest. (I realise that this can be calculated from the other information on the line, but it saves subsequent processors of the file considerable time to have the number readily available in the file without having to calculate it each time.)
3. Band
4. A set of eleven flags, each -- apart from column k -- encoded as T/F: 
   • a. QSO is confirmed by a log from the second party 
   • b. QSO is a reverse bust (i.e., the second party appears to have bust the call of the first party) 
   • c. QSO is an ordinary bust (i.e., the first party appears to have bust the call of the second party) 
   • d. the call of the second party is unique 
   • e. QSO appears to be a NIL 
   • f. QSO is with a station that did not send in a log, but who did make 20 or more QSOs in the contest 
   • g. QSO appears to be a country mult 
   • h. QSO appears to be a zone mult 
   • i. QSO is a zone bust (i.e., the received zone appears to be a bust)
   • j. QSO is a reverse zone bust (i.e. the second party appears to have bust the zone of the first party)
   • k. This entry has three possible values rather than just T/F:
     • T: QSO appears to be made during a run by the first party
     • F: QSO appears not to be made during a run by the first party
     • U: the run status is unknown because insufficient frequency information is available in the first party's log 
5. If the QSO is a reverse bust, the call logged by the second party; otherwise, the placeholder "-"
6. If the QSO is an ordinary bust, the correct call that should have been logged by the first party; otherwise, the placeholder "-"
7. If the QSO is a reverse zone bust, the zone logged by the second party; otherwise, the placeholder "-"
8.  If the QSO is an ordinary zone bust, the correct zone that should have been logged by the first party; otherwise, the placeholder "-"

Notes:

• The encoding of some of the flags requires subjective decisions to be made as to whether the flag should be true or false; consequently, and because CQ has yet to understand the importance of making their scoring code public, the value of a flag for a specific QSO line in some circumstances might not match the value that CQ would assign. (Also, CQ has more data available in the form of check logs, which are generally not made public.)
• I made no attempt to deduce or infer the run status of a QSO in the second party's log (if such exists), regardless of the status in the first party's log. This allows one cleanly to perform correct statistical analyses anent the number of QSOs made by running stations merely by excluding QSOs marked with a U in column k.
• No attempt is made to detect the case in which both participants of a QSO bust the other station's call. This is a problematic situation because of the relatively high probability of a false positive unless both stations log the frequency as opposed to the band. (Also, on bands on which split-frequency QSOs are common, the absence of both transmit and receive frequency is a problem.) Because of the likelihood of false positives, it seems better, given the presumed rarity of double-bust QSOs, that no attempt be made to mark them.
• The entries for the zones in the case of zone or reverse zone busts are normalised to two-digit values.
• No new information is added to the augmented logs: the intention is simply to make it easier to perform certain kinds of analyses using the information already present in the public logs.

Zones and Distance in CQ WW: 2007

Using the data from the CQ WW public logs, we can examine the distribution of distance for QSOs as a function of zone.

Below is a series of figures showing this distribution integrated over all bands and, separately, band by band for the CQ WW SSB and CQ WW CW contests for 2007.

Each plot shows a colour-coded distribution of the distance of QSOs for each zone, with the data for SSB appearing above the data for CW within each zone.

For every half-QSO in a given zone, the distance of the QSO is calculated; in ths way, the total  number of half-QSOs in bins of width 500 km is accumulated. Once all the QSOs for a particular contest have been binned in this manner, the distribution for each zone is normalised to total 100% and the result coded by colour and plotted. The mean distance for each zone and mode is denoted by a small white rectangle added to the underlying distance distribution.

As usual, only QSOs for which logs have been provided by both parties, and which show no bust of either callsign or zone number are included. Bins coloured black are those for which no QSOs are present at the relevant distance.

The resulting plots are reproduced below. I find that they display in a compact format a wealth of data that is informative and often unexpected.

Zones and Distance in CQ WW: 2006

Using the data from the CQ WW public logs, we can examine the distribution of distance for QSOs as a function of zone.

Below is a series of figures showing this distribution integrated over all bands and, separately, band by band for the CQ WW SSB and CQ WW CW contests for 2006.

Each plot shows a colour-coded distribution of the distance of QSOs for each zone, with the data for SSB appearing above the data for CW within each zone.

For every half-QSO in a given zone, the distance of the QSO is calculated; in ths way, the total  number of half-QSOs in bins of width 500 km is accumulated. Once all the QSOs for a particular contest have been binned in this manner, the distribution for each zone is normalised to total 100% and the result coded by colour and plotted. The mean distance for each zone and mode is denoted by a small white rectangle added to the underlying distance distribution.

As usual, only QSOs for which logs have been provided by both parties, and which show no bust of either callsign or zone number are included. Bins coloured black are those for which no QSOs are present at the relevant distance.

The resulting plots are reproduced below. I find that they display in a compact format a wealth of data that is informative and often unexpected.