Tag: Statistics

March Egg Count

Published on by gurrumichuLeave a comment

It’s time for Korean Chicken Tender’s March 2023 egg count!

The daylight has gotten longer and there’s been an uptick in egg laying. My number 1 ranked hen, Nuggo, emerged from her summer-fall-winter-long henopause and started laying her trademark asymmetrical, lopsided eggs. This heavyset alpha female’s eggs are a treat with their rich yolks and fragile cream-colored shells.


Same as in my last egg count, I currently raise 6 layer hens. They eat organic feed and garden greens, range freely on pasture, and slurp up tasty slugs seeking solace from the spring rains.

Here’s our monthly Egg Count thus far for 2023:

Month (2023)Laying HensEggs per Day (avg)Eggs per WeekDozens per WeekEggs per MonthDozens per MonthFeed CostCost per Dozen
Jan62.719.41.6836.9$ 30.00$ 4.30
Feb63.827.72.31078.9$ 30.00$ 3.33
Mar64.532.22.713811.5$ 30.00$ 2.58

Observations:

– The cost per dozen of our organic, pasture-raised eggs dropped from over $4 in Jan to $3 in Feb to now $2.58 in March!
– Hubba hubba Nuggo resumed laying, which increased the egg count.
– When I didn’t see Nuggo roaming around with the other hens one morning, I thought she had died standing erect on her roost bar. (When the time comes, I believe she will die no less a noble death). I was shocked to discover her in a nest box. That day she did a full egg laying simulation with no actual egg. The egg appeared a few days later.

Bottom left is Nuggo’s cream-white egg – note the calcium deposit, pointed tip, and lopsided-ness compared to the other eggs. It is nonetheless a treat to eat!

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Jan & Feb Egg Count

Published on by gurrumichu2 Comments

As a Chicken Tender, I raise some of the happiest chickens on the planet.
And as an analytical data tender, I like to track how many eggs have been laid and by whom.

People ask me how many eggs I collect in a week, and I’m a nut about calculating costs too. So I will share monthly updates on how many eggs were gathered and the average cost per dozen. Figuring out these numbers is satisfying. It’ll be interesting to see how the egg count and cost per dozen changes as we approach June where the longer daylight results in more egg laying, and then tapers down as we approach winter solstice.

I currently raise 6 layer hens. They eat organic chicken feed and garden greens, range freely, and slurp up tasty worms like noodles.

Here’s our monthly Egg Count for January and February 2023:

Month (2023)Laying HensEggs per Day (avg)Eggs per WeekDozens per WeekEggs per MonthDozens per MonthFeed CostCost per Dozen
Jan62.719.41.6836.9$ 30.00$ 4.30
Feb63.827.72.31078.9$ 30.00$ 3.33

Observations:

– Two of the reinas (2+ year old hens) resumed laying when they finished their winter molt (feather shedding and regrowth) in late Jan and early Feb. This increased the Feb egg count.
– The three bebitas (1 year old hens) laid daily last summer, but this tapered down to a rate of 0.8 per hen (or 4 eggs every 5 days) in January. This is to be expected due to short daylight.

Box and Whiskers

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Remember ‘box and whisker’ plots? Along the same vein as ‘stem and leaf’, these are a type of plot learned in school to show the distribution or spread of data, but I’d be stunned if you, dear reader, have actually made use of these outside of math class. Please comment if you have had the honor!

I’ve done a number of statistical analyses for school and tutoring, but I’ve yet to encounter a situation where a good old box and whisker rises as the best contender to display data.

Nonetheless, I learned to make one by coding in R today.
We’re working with a set of data showing the popularity of google-searching the term “entrepreneur” by state. The data has been standardized so that a state with an ‘entrepreneur’ value of 0 is at the mean; a positive value means ‘entrepreneur’ was googled relatively more than average. A negative value means that ‘entrepreneur’ was googled relatively less than average.

Out of the box, the boxplot() function is quite bare.

05_02 Out of the Box Boxplot
Out of the Box boxplot()

No titles, no labels! Those are premium services!
Curiously, the outlier ‘circle’ on the right, around 2.55, is actually TWO data points but they overlap and appear as one. I discovered this only upon summoning some descriptive statistics in the console viewer using:

boxplot.stats(df$entrepreneur)

So, let’s:
– Label the descriptive statistics (min, max, quartiles) and outlier
– Make the labels a fun color while at it


# Boxplot with Quartile Labels

boxplot(df$entrepreneur,
notch = F, horizontal = T,
main = “Distribution of Googling ‘Entrepreneur’ by State”,
xlab = “Standard Deviations”)

text(x = fivenum(df$entrepreneur),
labels = fivenum(df$entrepreneur),
y = 1.25,
col = “#990066”)

05_02 Boxplot Googling Entrepreneur by State and Color Quartile Labels

Concluding here, and next steps:
– It looks like the fivenum() five number summary considers the outliers as the max, so the max whisker is not labelled.
– I’d like to label the outlier with the State Abbreviations (any guesses?)

Thanks for reading!

* The outliers are DE and UT! Surprised?

Crazy Impoverished Asians

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Who knew that the most impoverished minority race group in King County (containing Seattle) are Asians? The number of Asians living under the federal poverty line is significantly greater than Latinos, Blacks, and Native Americans. I was surprised when looking at Census Bureau data from 2015-2018. Hover over and interact with this Tableau visualization or “viz” to see the numbers.

At the two Seattle Food Banks I visited, I noticed there were a considerable number of elderly Chinese folks. However, I found this result to be surprising!

Click on the preview image below to access the Tableau viz and stats.

As of now, WordPress doesn’t let fully embedded Tableau graphics onto posts.
WordPress, please get on this!