KyleOS

Co-founder of Kyso here. We will be opening up the platform before the end of the year. So going forward, it will be free to teams of all sizes. If anyone is interested, feel free to reach out to me at kyle@kyso.io

Have you ever considered Kyso (https://kyso.io) (disclaimer - I'm a co-founder)? I could be way off, and it would be a corner case for us right now, but it seems we'd fit all your requirements:

* We sit on top of git, which remains the single source of truth for your code - versioning, reproducibility, etc.

* Python & R notebooks or simple markdown (also on the web app itself).

* Show or hide code.

* Simple links for sharing reports.

* Tagging.

* Comprehensive search - by tag, keyword and content (soon).

Would be really interesting to hear your thoughts on the fit.

Data Science Template Writer - Kyso (https://kyso.io/jobs).

Kyso is a central knowledge hub for sharing and collaborating on technical reports posted by the company's data scientists, engineers & analysts, so everyone can read and learn from the generated insights.

We are in the process of building out our library of templates - these are ready-made boilerplates for various data science tasks that are designed to allow new teams to get their reports deployed as quickly as possible. An example of such templates can be found below:

https://kyso.io/Charlotte/google-analytics-api https://kyso.io/Charlotte/bigquery-ab-testing

We are looking for Content Creators to write various pieces of technical content for this template library to drive brand awareness and leads.

Reach out to me directly at kyle@kyso.io if interested!

Awesome article - I'm wondering, for "Publishing the Notebook" part of the workflow, have you ever seen Kyso (https://kyso.io) - disclaimer, I'm a founder. We started Kyso to make it easier to communicate insights gained from analysis to non-technical people by converting data science tools (e.g. Jupyter Notebooks) into conversational tools in the form of blog posts. You can make public posts or have an internal "data blog" for your team, where you push your work to Github and it is reflected on Kyso. Would love to hear your thoughts on how it could fit into existing workflows.

I think the opioid crisis and the structural inefficiencies of the healthcare system are 2 separate (but related) problems that both need solving.

This is particularly relevant because the EU's new Commission president has expressed pro United States of Europe sentiment in the past.

It's scary seeing the evolution of the effects of climate change over time. How anybody can continue to deny it is unbelievable. This [1] plots out global average temperatures since the Industrial Revolution, month by month.

[1] https://kyso.io/KyleOS/temperature

The size is a function the country's GDP, it's in the title but I should have made it clearer in the legend or with a scale.

A recent post on the same topic: https://news.ycombinator.com/item?id=20098900

Completely understand & I agree. Citation added.

Hey - not OP but I wrote the article. There was a lot of discussion about recency bias in that thread, including the graph you shared and I decided to expand on the analysis. Note there are a few other graphs in my post. I did just draw this up quickly yesterday. But you're right, sorry - I should have cited your comment in my post. Adding it now.

I don't know if that is down to recency bias, but rather the sheer number of fans for that particular genre. There are not many movies in the top 50 you could reasonably make that same argument for.

Also, I'm not sure you could make that argument for IMDB's top 250 TV series [1], but maybe that's just my own preferences speaking.

[1] https://www.imdb.com/chart/toptv/

Credit to Siddharth Shukla - used his script to get the IMDB ratings (https://github.com/sid8491/imdb-tv-shows-rating).

Here's a link to the data source: https://www.federalreserve.gov/econres/scfindex.htm

Well, it's one of the ways to post to Kyso, but yeah, you can synchronize your Github repositories to Kyso and choose the notebooks you want to have rendered. When you push changes to the repo, the sister post on Kyso will be automatically updated.

Hey, I posted the notebook by the OP. Thank you for your feedback! You're correct in saying that FB Prophet is for forecasting time series with strong seasonal effects. FB Prophet was the model used in the original script I found & the main point here was simply to make the notebook more readable on kyso, which has quite a few non-technical readers. I've worked a lot with ARIMAs before for financial/economic data and I like the idea of comparing the results between the two, and maybe even extend the time frame. So 1. I think that'll be my next project and 2. if your project is public I'd love to give it a read when published.

I think the file extension scraped on Github is only .ipynb, which is only python notebooks right?

I think it would be cool to run the same analysis on the number of R Notebooks on Github and compare the two.

And the top 5% own as much as the bottom 80%

Data is from Credit Suisse's 2018 Wealth Report

I'm wondering how the number of R Notebooks would compare, now and for the forecasted numbers. Thinking I'll do that next.

Thanks! Yes you're right, and these differential factors between countries, like voting ages, registration voting systems, etc.. will have an influence on voter turnout - which in turn will have implications for the voting power of individuals depending on their nationality.

Working on a related post regarding voter influence across the EU in the European elections (https://kyso.io/KyleOS/eu-elections), which I should finish later today.

The post is an IPython notebook and everyone is free to download the attached datasets or fork the entire study.

Source: Data is from Kaggle (https://www.kaggle.com/russellyates88/suicide-rates-overview...), which compares socio-economic info with suicide rates by year and country between 1985 and 2016.

Will hopefully add to this analysis by looking at other causation factors like alcohol consumption, hours of sunlight, etc.

According to CoupCast, Burkina Faso, Afghanistan, and South Sudan should be all be wary of a coup in the near future.

Great suggestion - I just forked the original post and created a new map based on emissions per unit of economic output: https://kyso.io/KyleOS/co2-per-unit-output it flips the map for North America and a lot of SE Asian countries

We're in the 21st-century dude. Point to a time where access to foreign aid, other financial assistance, and tech that would enable economic prosperity on renewable energy is as easy as it is today.

Very good point - I actually only posted on this topic the other day: https://kyso.io/KyleOS/per-cap-meat-consumption

I'm wondering if there is a way to plot the impact this consumption has on the environment - maybe I can apply some form of multiplier to each country's meat consumption. Any suggestions? Would love to update that post with an environmental twist.

Only if you're arguing on the premise that they can only achieve sustainable economic growth in the 21st century by polluting the atmosphere.

I believe it is indeed the second - it would add to China's carbon footprint - & I completely agree with you. This article addresses the issue nicely: https://www.carbonbrief.org/how-much-of-chinas-carbon-dioxid... countries that import more and manufacture less (the West) experience falling emissions, while that of the developing, manufacturing economies increases