Floods cutting roads in northwestern Australia has turned a ~4600km return trip into a ~12000km return trip.
/r/MapPorn
https://redd.it/1057kdo
I just finished this map doily pattern and thought you all would enjoy seeing it
/r/MapPorn
https://redd.it/104ykg3
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/r/dataisbeautiful
https://redd.it/100j6br
% of gay or lesbian people within England and Wales.
/r/MapPorn
https://redd.it/1058fc4
[D] Fixing the angle of Skewed Paintings, see comments
https://redd.it/104u2di
@datascientology
The many types of beers and their countries of origin
/r/Infographics
https://redd.it/103b1u9
The most expensive buildings ever constructed
/r/Infographics
https://redd.it/104499i
[OC] The number of Representatives in the US Congress per million Capita
/r/dataisbeautiful
https://redd.it/104fd75
Percentage of arable land of a countrys whole area
/r/MapPorn
https://redd.it/104bs2b
[OC] Country Distribution of Top 500 Companies by Market Capitalization
/r/dataisbeautiful
https://redd.it/10421kr
Resources on best practices for professional projects (e.g. version control, virtual environments, debugging, documenting code)
Hi everybody,
I've recently finished my Master's and am currently applying for data scientist/analyst positions. During my studies, I have acquired a decent knowledge of different algorithms, data cleaning, visualization, evaluation, etc. However, I feel like I didn't learn a lot of the fundamentals around any projects. That is, how to properly document code, use virtual environments and version control, etc. Basically, anything that will make a project seem professional and easily usable by others.
Are you aware of any resources on such best practices? For example, a course dedicated to a bunch of them or individual resources to help me to get a better understanding of how to create a professional project.
I would appreciate any pointers! :)
/r/datascience
https://redd.it/103y1yh
Q Which statistical methods became obsolete in the last 10-20-30 years?
In your opinion, which statistical methods are not as popular as they used to be? Which methods are less and less used in the applied research papers published in the scientific journals? Which methods/topics that are still part of a typical academic statistical courses are of little value nowadays but are still taught due to inertia and refusal of lecturers to go outside the comfort zone?
/r/statistics
https://redd.it/103utzy
The Ultimate Cheatsheet For Kritical Thinking
/r/Infographics
https://redd.it/105gxbv
3D Population Density Map of Japan [OC] (Data source: Worldpop.org / Software: QGIS and Blender)
/r/dataisbeautiful
https://redd.it/105d400
[OC] Cars make suburbs riskier than cities
/r/dataisbeautiful
https://redd.it/104vty9
The Most Important Science Headlines of 2022
/r/Infographics
https://redd.it/104yyps
Serb and Italian majority areas in Croatia (1931 - 2011) [OC]
/r/MapPorn
https://redd.it/104tv1i
Q Book suggestion for Spatial Statistics / Geostatistics
Hello everyone.
I am in desperate need of book suggestion for spatial statistics (I would say Geostatistics). Let me explain my situation: The books are either too easy, or too hard. I skimmed/studied at least 10 books so far and none of them works. For example, “Applied Geostatistics” by Isaaks and Srivastava is a very good book with good explanation, however, it is way too lightweight and only "talks about" concepts. On the other hand, "Geostatistics: Modeling Spatial Uncertainty" by Chiles and Delfiner has all the topics I want to study, but it starts to delve into crazy concepts even from Chapter 1, without explaining what is what in the first place. Some books talk about Variograms on Chapter 2, and some other books talk about them on Chapter 22 (literally, check Y.Z. Ma's book).
In essence, I need to learn about Variograms, Kriging and Simulations (I am OK with Unconditionals at the beginning). If I need to read a prerequisite book, I am also OK with that. If I need to take a prerequisite lecture, I am also OK with that. Please guide me dear Redditors. I have studied many topics in my life but none of them felt this arcane*.* It feels like I am trying to learn some occult. It is never explained clearly, it is available nowhere and it is always super-complicated or it is extremely dumbed-down to the point it is not what it is anymore. If there is a book, even 5000 pages long, that has the topics of Chiles&Delfiner, but the explanation of Isaaks & Srivastava, please tell me the name.
/r/statistics
https://redd.it/104lt89
What’s your favourite swear word? (Everyone 13+)
Anyone can take this survey, as all of the demographic questions are optional and most include an “other” option to be inclusive of options that I may have not thought of.
https://docs.google.com/forms/d/e/1FAIpQLSfp8kTuUfFBQ1funASmvQ-jsJh8qpb4erOluQgGWBNYh2sgw/viewform?usp=sflink
/r/SampleSize
https://redd.it/1046vud
University of Georgia historian Claudio Saunt created an interactive map showing the decline of Indian/Native homelands from 1776 to 1887. Along with Slate's Rebecca Onion, he turned that map into a GIF, showing just how rapidly European-Americans took what amounted to over 1.5 billion acres:
/r/MapPorn
https://redd.it/1048eor
Introducing Jupyter Scheduler
https://blog.jupyter.org/introducing-jupyter-scheduler-f9e82676c388
/r/IPython
https://redd.it/zm3wbo
[OC] Republicans are more likely to be happy and satisfied compared to Democrats
/r/dataisbeautiful
https://redd.it/103yggi
Here’s a playlist of 7 hours of music with NO VOCALS I use to focus when I’m coding /learning . Post yours as well if you also have one!
Spotify | Apple | Youtube | Amazon
/r/bigdata
https://redd.it/zelzp5
U.S. Cities Where the Most People Take a Motorcycle to Work
/r/Infographics
https://redd.it/1042gs0