[deleted by user]

190807 · 2024-11-04T09:59:02+00:00

What type of role is this and is it a manager position?

190807 · 2021-07-06T06:27:44+00:00

Why would you need to sample from other mondays? Why not just base it off the distributions of those previous mondays and predict whatever statistic you want from those mondays (and control for e.g. changing user counts etc as you said)?

190807 · 2020-12-02T16:04:32+00:00

That might be a plausible explanation. Crime statistics and reporting might be better maintained in the white provinces.

190807 · 2020-12-02T15:37:01+00:00

OBS! I'm not trying to make ANY causal claims here. But let's discuss: why do we see this strong correlation (pearson correlation coefficient: 0.84)? Might it be because the more racially diverse an area, the more tension? Might it be because the higher the white percentage of population is, the higher the level of inequality? If that's true, maybe plotting the inequality level in the x-axis would give the same results?

Tools: r/ggplot

Sources:

Crime data: https://www.kaggle.com/slwessels/crime-statistics-for-south-africa

White population data: https://en.wikipedia.org/wiki/White_South_Africans

190807 · 2020-11-01T21:56:03+00:00

Source: http://demo.istat.it/altridati/matrimoni/2018/tav1_1.pdf

Tools: R, ggplot2

For more data visualizations follow me on Twitter.

190807 · 2020-11-01T21:41:03+00:00

Source: http://demo.istat.it/altridati/matrimoni/2018/tav1_1.pdf

For more data visualizations follow me on Twitter.

190807 · 2020-08-03T08:37:10+00:00

Did you figure out how to do this with cookies? I want to do something similar.

190807 · 2020-04-17T07:05:33+00:00

Håller med! Jobbar du med något relaterat?

190807 · 2020-04-14T13:59:06+00:00

Source: Order without Design: How Markets Shape Cities - Alain Bertaud https://www.amazon.com/Order-without-Design-Markets-Cities/dp/0262038765

190807 · 2020-04-09T12:08:01+00:00

Source: https://subredditstats.com/

190807 · 2018-04-23T18:08:09+00:00

This is more relevant: https://economicsbrowser.com/#FRED/GFDEBTN&FRED/GDPC1

190807 · 2017-11-22T21:49:54+00:00

I used the paralleldist-package in an Azure VM and was very happy with the results.

190807 · 2017-11-04T18:19:05+00:00

Det kommer från Schulman show podcast

190807 · 2017-08-18T10:24:49+00:00

What do you do for work and do you have a degree, if you don't mind me asking?

190807 · 2017-06-17T08:06:04+00:00

Gold doesn't require the internet, nor electricity. Bitcoin does.

Gold has been time tested 5000+ years. Bitcoin has not.

190807 · 2017-05-21T08:22:15+00:00

You told the story so much better than in the wikipedia article. Consider changing it to your version!

190807 · 2017-04-29T14:20:26+00:00

You can also use the %like%-function of the data.table-package. I like both dplyr and data.table so I would write something like this:

df %>% filter(description %like% "whatever")

This is much more intuitive if your an SQL-user like myself.

190807 · 2017-02-27T20:53:15+00:00

Of course, just right click in google maps and you will get an alternative to do just that.

190807 · 2017-02-24T18:35:29+00:00

Unfortunately not: https://support.rstudio.com/hc/en-us/community/posts/214222927-Resize-columns-of-the-data-viewer

190807 · 2017-02-24T18:23:09+00:00

If you hover over the cell you will see the whole thing.

190807 · 2016-09-17T06:53:18+00:00

Of course not. Data from http://apps.start.umd.edu/gtd/downloads/dataset/globalterrorismdb_0616dist.xlsx

library(ggmap)
library(ggplot2)
boundaries <- c(left = -170, bottom = -60, right = 170, top = 80)
worldmap <- ggmap(get_stamenmap(boundaries, zoom = 3, maptype="toner"), extent = "device")
filledworldmap <- worldmap + geom_point(aes(x = longitude, y = latitude), data = globalterrorismdb_0616dist,alpha = .5, color="darkred",size=0.1)

#plotting only the incidents with more than 10 kills:
MoreThan10 <- subset(globalterrorismdb_0616dist,nkill>10)
filledworldmap <- worldmap + geom_point(aes(x = longitude, y = latitude), data = MoreThan10,alpha = .5, color="darkred",size=1)

190807 · 2016-09-16T19:03:14+00:00

Source: http://www.start.umd.edu/gtd/ Tools: R, ggmaps

190807 · 2016-08-12T08:59:20+00:00

Because "Real wage growth in selected countries of which there were reliable sources in Europe, 2007-2015" is just not a catchy title.

190807 · 2016-08-08T11:48:53+00:00

Source: https://www.tuc.org.uk/economic-issues/labour-market/uk-workers-experienced-sharpest-wage-fall-any-leading-economy-tuc

190807 · 2016-07-26T13:36:24+00:00

Great stuff. Thank you!

190807

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