simardcasanova’s avatarsimardcasanova’s Twitter Archive—№ 30,904

                      1. Hi friends! Some (major!) professional news: I'm launching my first product ever today! If you regularly write R code (or plan to) you'll be interested 👀 This product is called DictionR and is here to save you a ton of time Let me explain 🧵 dictionr.aleryon.science/about/ 1/20
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                      Your time is precious. I literally designed DictionR to save your time — in two ways: - By cutting the time you spent googling for solutions - By flattening R's learning curve DictionR's homepage looks like this ⤵️ 2/20
                      oh my god twitter doesn’t include alt text from images in their API
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                  1. …in reply to @simardcasanova
                    So what's DictionR exactly? DictionR is a website centralising a curated collection of R code snippets Snippets are small chunks of code you can reuse almost as-is for simple & not-so-simple tasks DictionR is useful for beginners & experienced R users — I use it myself! 3/20
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                  Here are some examples of snippets: - Round a number: dictionr.aleryon.science/round-number/ - Format a date: dictionr.aleryon.science/change-format-date/ - Remove duplicates: dictionr.aleryon.science/remove-duplicates-dataframe/ - Conditions: dictionr.aleryon.science/condition-operators/ - Replace strings: dictionr.aleryon.science/replace-string-column/ And some screenshots ⤵️ 4/20
                  oh my god twitter doesn’t include alt text from images in their APIoh my god twitter doesn’t include alt text from images in their APIoh my god twitter doesn’t include alt text from images in their APIoh my god twitter doesn’t include alt text from images in their API
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              1. …in reply to @simardcasanova
                So how does DictionR cut the time you spend googling for solutions? Instead of endlessly googling for half-satisfying solutions in ugly websites written for bots instead of human eyes, you can now search and browse a central repository! 5/20
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            1. …in reply to @simardcasanova
              As you can see above, DictionR snippets are written in plain English Which means that you don't need to know the technical jargon to have a shot at finding a solution It's way more efficient than the usual way of looking at the documentation or googling out of the blue 6/20
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          1. …in reply to @simardcasanova
            Each snippet has its page with a clean presentation, a "Dive deeper" section for more advanced uses and link to its documentation Snippets are simple but you aren't limited if you need more power See for yourself here ➡️ dictionr.aleryon.science/round-number/ Or in the screenshot ⤵️ 7/20
            oh my god twitter doesn’t include alt text from images in their API
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        1. …in reply to @simardcasanova
          DictionR massively cuts the time spent to learn R — by passing to you the trial-and-error learning I had to go through Albeit not a tutorial for beginners (I'd recommend a basic knowledge of R to use DictionR), DictionR centralizes the knowledge I accumulated since 2014 8/20
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      1. …in reply to @simardcasanova
        Thanks to its centralized nature, DictionR is good at discoverability & serendipity It helps you discover new functions & tools you had no idea existed It sure helps flatten R's learning curve, but it also helps more experienced R users to do even more things with R 9/20
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    1. …in reply to @simardcasanova
      To help you easily find what you're looking for I put extra effort into neatly organizing DictionR The libraries you need to load to make a snippet works are clearly indicated And to make things predictable I carefully crafted several conventions dictionr.aleryon.science/docs/ 10/20
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  1. …in reply to @simardcasanova
    All snippets are consistent with each others and rely on the same set of assumptions With DictionR, you won't find yourself hitting odd bugs, loading a ton of libraries you don't really understand the purpose of — and so on The code syntax is also consistent 11/20
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    1. …in reply to @simardcasanova
      DictionR snippets are made of actual, working, battle-tested R code Literally all the DictionR snippets are snippets I personally used and tested Here are some examples of plots, dashboards and maps I've built with code you can (or will soon) find on DictionR ⤵️ 12/20
      oh my god twitter doesn’t include alt text from images in their APIoh my god twitter doesn’t include alt text from images in their APIoh my god twitter doesn’t include alt text from images in their APIoh my god twitter doesn’t include alt text from images in their API
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      1. …in reply to @simardcasanova
        Now let's talk about the price As you may know, during the pandemic I transitioned out of academia and went for a career as a self-employed economist/data scientist So I need money for my private jet 👀 (or more realistically, for my rent and for my food) 13/20
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        1. …in reply to @simardcasanova
          DictionR has a launch price of 154$/year — saving you a massive 300$/year compared to the final price of 454$/year 🔥 If you subscribe now, you'll keep this launch price for as long as you'll stay subscribed — and yes you'll keep the price even after the price increases! 14/20
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          1. …in reply to @simardcasanova
            Under which circumstances is DictionR profitable for you? Think in terms of opportunity costs DictionR is profitable as long as it helps you save as low as two hours *per year* — which it definitely will 15/20
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            1. …in reply to @simardcasanova
              Having a subscription-based model will help me not only maintain DictionR — but also regularly expand the set of available snippets 58 snippets are already available — and *hundreds* more are on my pipeline, many coming very soon dictionr.aleryon.science/upcoming/ 16/20
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              1. …in reply to @simardcasanova
                By subscribing to DictionR you will: ☑️ Gain instant access to all current and future snippets ☑️ Save a ton of time writing R code and learning R ☑️ Enjoy (and keep!) the preferred launch price ☑️ Support an independent, self-employed economist and data scientist 17/20
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                1. …in reply to @simardcasanova
                  To subscribe to DictionR you just need to click right here ➡️ dictionr.aleryon.science/about/#/portal/signup And if you need more details, you can find them right there ➡️ dictionr.aleryon.science/about/ If you have any question just drop a reply to this thread! 18/20
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                  1. …in reply to @simardcasanova
                    (For those of you interested in these things, DictionR runs on a @Ghost instance hosted on @digitalocean. I use KaTeX for the mathematical rendering, highlight.js for the code block syntax coloring and @PlausibleHQ to track the traffic. Simple, extremely fast & powerful!) 19/20
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                    1. …in reply to @simardcasanova
                      I hope you'll find DictionR as useful as I do! You can follow me @simardcasanova and my company's account @AleryonScience for more — incl. tweets announcing new snippets I'd really appreciate if you can like/RT the first tweet below to help spread the word ⤵️ Thanks! 20/20 @simardcasanova/1522176829074812928
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