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Bit Of A Yarn

Unnormalized Data Leads To Pointless Presentations?


Yankiwi

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3 hours ago, Chief Stipe said:

So explain the reasons for the variance in the start of Q3 compare to YTD for Cambridge.

Unnormalized data used for pointless presentations has no variance applied.

image.png.77bbbe0a4ef6f2198c2cc7b1212b71ee.png

If that's what you want to do, have at it.

Then you can add your deviation to it.

image.png.88d3604602fa75c88306f4351a825f85.png

 

 

In my world, one dog injured is one dog injured. Those not injured are not injured.

In your world because so many dogs were not injured, even the ones that did get injured, didn't get injured.

 

My variables are Column "A" to Column "I" which are manually entered.

Formulas in Column "J" to "L" are constant.

 

Q3 Cambridge.

image.png.2a9129f039b35ac736bb553b79e911c7.png

 

(0+0+2)/442 = .0045 = Major injuries = 0.5%

image.png.bd1413e7526eb8fe4abbf4551fb093f7.png

 

(10+7)/442 = .0384 = Minor injuries = 3.8%

image.png.3f3ce388084bf9031d6e4ec195848b1b.png

 

Season to date Cambridge.

image.png.6f8bf424e0466c164e4dfc5003ef4802.png

 

(0+2+10)/2490 = .0048 = Major injuries = 0.5%

image.png.9548b572f3ba47434419843c31333c0d.png

 

(25+44)/2490 = .0277 = Minor injuries = 2.8%

image.png.1b3472b48dc2cbda514946776b89f7fa.png

 

Column L = J###/C### = Total Injuries

 

Think twice before taking your racing greyhound to Auckland. I hear Invercargill is nice this time of year.

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2 hours ago, Yankiwi said:

Unnormalized data used for pointless presentations has no variance applied.

image.png.77bbbe0a4ef6f2198c2cc7b1212b71ee.png

If that's what you want to do, have at it.

Then you can add your deviation to it.

image.png.88d3604602fa75c88306f4351a825f85.png

 

 

In my world, one dog injured is one dog injured. Those not injured are not injured.

In your world because so many dogs were not injured, even the ones that did get injured, didn't get injured.

 

My variables are Column "A" to Column "I" which are manually entered.

Formulas in Column "J" to "L" are constant.

 

Q3 Cambridge.

image.png.2a9129f039b35ac736bb553b79e911c7.png

 

(0+0+2)/442 = .0045 = Major injuries = 0.5%

image.png.bd1413e7526eb8fe4abbf4551fb093f7.png

 

(10+7)/442 = .0384 = Minor injuries = 3.8%

image.png.3f3ce388084bf9031d6e4ec195848b1b.png

 

Season to date Cambridge.

image.png.6f8bf424e0466c164e4dfc5003ef4802.png

 

(0+2+10)/2490 = .0048 = Major injuries = 0.5%

image.png.9548b572f3ba47434419843c31333c0d.png

 

(25+44)/2490 = .0277 = Minor injuries = 2.8%

image.png.1b3472b48dc2cbda514946776b89f7fa.png

 

Column L = J###/C### = Total Injuries

 

Think twice before taking your racing greyhound to Auckland. I hear Invercargill is nice this time of year.

So you can't explain the difference 

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18 hours ago, Chief Stipe said:

So explain the reasons for the variance in the start of Q3 compare to YTD for Cambridge.

I have answered your question. I do not apply a variance.

I've explained the variables.

Date - track - starters - 1/10 - 11/21 - 22/42 - 43/90 - death.

I have shown you the basic math equations to calculate the injury percentages.

If you're not happy with that, nothing I will ever say will make you happy.

It's what I'm doing & has proven effective (as it is in line with GRNZ's Q1 data they have released).

I've made Q2 data available as it was occurring, something everyone would have had to wait until mid/end of March to get from GRNZ.

I'm making Q3 data available as it is occurring, something everyone would have had to wait until mid/end of June to get from GRNZ.

If you don't like that & you want to minimize the impact the numbers of dogs that actually get hurt without improving welfare or safety, your target should be GRNZ's database administrator, not me. I'm not reporting to the Govt.

I am bringing attention (page hits) to your forum, something I thought you might actually appreciate. Without me, your forum would be on par with your old hang-outs greyhound forum.

You're welcome.

 

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