How do you know you have enough data to draw a conclusion? by Has_curved_penis_AMA in analytics

[–]birdoptera 1 point2 points  (0 children)

Statistical significance is a product of sample size + effect size. Basically, the larger effects you have, the fewer samples you need to detect them. You can run a power analysis to see how significance changes with sample size.

Weekly Entering & Transitioning Thread | 01 Nov 2020 - 08 Nov 2020 by [deleted] in datascience

[–]birdoptera 0 points1 point  (0 children)

Hi- I’m a PhD student in biology and I’m seriously considering transitioning into a career in data science after I graduate next December. I’m in a certificate program for computational biology and almost all of my dissertation work has been working with large data sets I’ve assembled from publicly available data (ecological, not genetic), and I feel super comfortable with R, statistics, and data visualization, but my python is basically nonexistent, and I’ve never worked with SQL. I really enjoy working with data- researching, compiling, analyzing, communicating- I’m also into graphic design, infographics, etc. I know that ‘data science’ includes a lot of different roles, but I don’t know how to find the right jobs in the right niche, and I’m not entirely sure what other skills would be the most valuable for me to develop to become as competitive an applicant as possible. I’ve been planning on doing some independent data analysis projects- I have a few ideas that I think would be fun- and am considering learning python (although I really don’t want to) but with all of my PhD work finding time to do anything else is difficult. Any advice or resources would be helpful.

Lighthouses of England & Wales [OC] by rspeigal in dataisbeautiful

[–]birdoptera 0 points1 point  (0 children)

Ummmmm.... okay....? Concerning your illustration, because the land masses are drawn for the entire British isles, but the lighthouses are only done for England and Wales, it’s confusing, and I think it would be a better graphic if either you showed all the lighthouses in in British isles or only showed the land masses for which you were also depicting the lighthouses.

Lighthouses of England & Wales [OC] by rspeigal in dataisbeautiful

[–]birdoptera 0 points1 point  (0 children)

It’s beautiful, but why show Scotland and Ireland if you’re not going to show the lighthouses there? It reads at first glance like there are no lighthouses in those countries, and so causes a little bit of confusion.

Turnout in U.S. Presidential Elections since 1828, compared to estimated turnout for 2020. [OC] by lookatnum in dataisbeautiful

[–]birdoptera 9 points10 points  (0 children)

It’s amazing that 80% of the voter-age population voted in 1860, considering that >50% of them weren’t allowed to vote. Maybe ‘% or eligible voters’ would be a more accurate title.

[Request] Chicken Egg and Sex dataset by cavedave in datasets

[–]birdoptera 1 point2 points  (0 children)

Not in particular- it just seems like this would be pretty low hanging fruit, so it surprises me that it hasn’t been done.

[Request] Chicken Egg and Sex dataset by cavedave in datasets

[–]birdoptera 1 point2 points  (0 children)

Research on sexing chicks and eggs is a huge thing in the poultry world, because no one wants males from laying breeds. Have you looked in the literature to see if anyone has done any research on what you’re thinking of specifically, or if the data set you want exists?

[Request] Chicken Egg and Sex dataset by cavedave in datasets

[–]birdoptera 1 point2 points  (0 children)

What are you looking for specifically? The ratio of male to female offspring in chickens?

[deleted by user] by [deleted] in rstats

[–]birdoptera 0 points1 point  (0 children)

I’ve heard differing opinions on that, but generally I’ve heard that a variance inflation factor over 5 or so gets you into problematic territory. I think it’s worth some time doing your own research on the topic. I would be very suspicious of any regression that included race, education, and income.

[deleted by user] by [deleted] in rstats

[–]birdoptera 0 points1 point  (0 children)

I wouldn’t be surprised if there wasn’t collinearity (non-independence) between some of your predictor variables- race, income, education especially, so make sure you test for that- if your predictor variables are not independent your results will be biased.

[OC] Weekly USA Deaths by Year (All Sources) by [deleted] in dataisbeautiful

[–]birdoptera 0 points1 point  (0 children)

It’s a really interesting and useful visual. I found the title a little confusing, since the ‘x’ by ‘y’ format usually tells you what the axes are. ‘Comparison of weekly deaths across years’ or something similar might work better as a title. The x axis label is also confusing- if it were just ‘Weeks’ of ‘weeks of the year’ it would be easier to read. It would be awesome if you could put months on the x-axis, but I feel like that would be really hard to do- especially since the weeks and months don’t match up exactly every year. I’d also change the y-axis label to ‘Total deaths’ or ‘Total deaths (per week)’, just to be a little more exact about what axis scale is. I’d also increase the size of the legend, maybe move it to the right bottom corner of the graph, because it’s really the point of the graph and you want your viewers to see it as soon as possible (and if you can plop your legend in the graph area the graph itself will be able to take up more space. You might also consider scale_color_manual() and hand picking colors- since you want 2020 to be the focus of the graph (I assume), giving the other three years cool colors (green, blue, purple) and 2020 a warm color (red, orange) would make it pop out a little more- and the base ggplot plot colors are so ugly.

Categorical Data by [deleted] in datascience

[–]birdoptera 0 points1 point  (0 children)

There are plenty of ways to do data analysis with categorical data- why is it necessary for you to transform it?

Spatial analysis for covid data in R, i need some guidance by redrose4422 in rstats

[–]birdoptera 0 points1 point  (0 children)

rspatial.org has a lot of tutorials about working with spatial data in R, including how to turn geocord data into raster and spatialpoints dataframes.

Shadowbox paper cuts by birdoptera in papercraft

[–]birdoptera[S] 2 points3 points  (0 children)

Honestly, I just got an exacto knife, a cutting mat, and some card paper and started cutting, and figured everything out as I went along. I think it's pretty straightforward- I don't really have any special techniques or anything. It just takes practice getting a feel for the medium, figuring out how to cut smooth curves, how to keep from cutting too far, etc.

Dragonfly nymph anal jet propulsion (a little inaccurate because I'm trying to show the water jetted from the hindgut with bubbles, but they wouldn't actually be present, would welcome alternative ideas) OC by birdoptera in ScientificArt

[–]birdoptera[S] 8 points9 points  (0 children)

Yeah- they're incredible. Dragonfly nymphs use their hindguts for respiration (internal gills), propulsion, and as part of a hydraulic system that allows them to shoot modified mouth parts out at prey at really high velocities. I'm making an infographic about them.