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80 changes: 23 additions & 57 deletions transcripts/492-great-tables.txt
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00:00:00 Join me as I chat with Rich Annone and Michael Chow from Posit, where we explore the transformative
00:00:00 Join me as I chat with Rich Iannone and Michael Chow from Posit, where we explore the transformative

00:00:05 power of data tables with the Great Tables Library.

00:00:08 We'll cover practical applications of great tables, showcasing how thoughtful design and

00:00:13 advanced formatting can elevate your data presentations.

00:00:16 And you'll learn about innovative features like nanoplots and interactive elements, as
00:00:16 And you'll learn about innovative features like nano plots and interactive elements, as

00:00:21 well as the importance of structure, format, and style in crafting tables that inspire.

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00:03:59 It's an awesome episode.

00:04:00 Rich, Michael, welcome to Talk Bython Me.
00:04:00 Rich, Michael, welcome to Talk Python to Me.

00:04:04 Great to have you two here.

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00:06:20 That was like a major problem.

00:06:22 Actually had to retranscribe them.
00:06:22 Actually had to re-transcribe them.

00:06:24 There was many of them.

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00:16:26 For a limited time, you can try Posit Connect for free for three months by going to talkpython.fm

00:16:31 slash posit.
00:16:31 /posit.

00:16:32 That's talkpython.fm/P-O-S-I-T.

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00:19:45 Amazing.

00:19:45 I feel like Edward Tuftay must come into existence a lot for you guys.
00:19:45 I feel like Edward Tufte must come into existence a lot for you guys.

00:19:52 But it kind of goes to show tables can be cool, right?

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00:27:39 They teach you to be economical with how much data you put on, how much, basically the

00:27:43 Tufti thing, how much ink are you going to like spend on a visualization?
00:27:43 Tufte thing, how much ink are you going to like spend on a visualization?

00:27:46 And, it just carries it through to all the different parts, which is, you know, amazing.

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00:34:53 Selectors.

00:34:54 So that really was eyeopening to us.
00:34:54 So that really was eye opening to us.

00:34:56 And I think the polars team a little bit, I think they hadn't, I think great tables was

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00:36:35 So yeah.

00:36:36 Pandas are polar's polar's has some really nice benefits like selectors.
00:36:36 Pandas are polar's has some really nice benefits like selectors.

00:36:40 And then it also, it's used quite a bit whenever we style a table.

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00:38:15 represents the structure of the table.

00:38:17 A little Flutter or HTML-esque in that sense.
00:38:17 A little Flutter or HTML-eques in that sense.

00:38:21 Yeah.

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00:43:33 Like, yeah, it's actually inspiring every time.

00:43:36 It's gotta be pretty hard to build a framework around such a visual flexibility, you know?
00:43:36 It's got to be pretty hard to build a framework around such a visual flexibility, you know?

00:43:41 Yeah.

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00:51:32 But if you look at the, the nano plots, some of them are really spotty and some of them are

00:51:38 pretty much flat and that it tells you a whole nother dimension.
00:51:38 pretty much flat and that it tells you a whole another dimension.

00:51:41 That's kind of, this is kind of what I was getting at.

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00:52:57 I think there are interactive table libraries too.

00:53:01 So one we have ported to Python recently is called Reactable.
00:53:01 So one we have ported to Python recently is called React-table.

00:53:05 So we made a port called ReactablePy that it offers expanding tables.

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00:57:42 And that was so helpful to have as a issue.

00:57:45 And I think that contribution to GreatTable is really huge.
00:57:45 And I think that contribution to Great Table is really huge.

00:57:50 Yeah.

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00:58:02 So that's really good.

00:58:04 And I see Carol noted Quarto, which is actually the whole GreatTable's website is built with
00:58:04 And I see Carol noted Quarto, which is actually the whole Great Table's website is built with

00:58:09 Quarto.

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00:58:23 And it's also developed by Posit.

00:58:25 But we, yeah, we end up putting tables a lot in like Quarto documents or the like GreatTables
00:58:25 But we, yeah, we end up putting tables a lot in like Quarto documents or the like Great Tables

00:58:32 website.

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00:58:43 I guess for context.

00:58:44 So like some tools like IBIS, their API docs and the GreatTables docs.
00:58:44 So like some tools like IBIS, their API docs and the Great Tables docs.

00:58:49 Yeah.

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00:59:09 Yeah.

00:59:10 I think we want to port quite a bit more from the R program over to GreatTables.
00:59:10 I think we want to port quite a bit more from the R program over to Great Tables.

00:59:14 That includes things like merging, concatenating values from different columns into single columns.

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00:59:43 Excel's a big one.

00:59:46 We'll put GreatTables in Excel so you can just go all the way to the bottom, wherever that is.
00:59:46 We'll put Great Tables in Excel so you can just go all the way to the bottom, wherever that is.

00:59:51 Well, I think one other thing to note is extensions that in R, tons of people have extended GT, the GreatTables for R.
00:59:51 Well, I think one other thing to note is extensions that in R, tons of people have extended GT, the Great Tables for R.

00:59:59 And tons of helper packages.

01:00:01 Like if putting a bar in your table is something you want to do, there are a lot of these inside extra helper packages.

01:00:09 And so I think one nice thing would be we want to kind of create a example helper package just to give a feel for how people in Python could also create this kind of stuff for

01:00:09 GreatTables.
01:00:09 Great Tables.

01:00:20 If you want to extend like, yeah, if you wanted to create your own little bar charts in GreatTables, it seems like people have done a lot of that in R.
01:00:20 If you want to extend like, yeah, if you wanted to create your own little bar charts in Great Tables, it seems like people have done a lot of that in R.

01:00:30 And so it'd be cool to try to foster that kind of ecosystem and extension.

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01:03:32 We should be right at the top.

01:03:33 You can also find the iTunes feed at /itunes, the Google Play feed at /play, and the direct
01:03:33 You can also find the iTunes feed at /iTunes, the Google Play feed at /play, and the direct

01:03:39 RSS feed at /rss on talkpython.fm.

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01:03:59 Bye.

01:04:00 Bye.

01:04:01 Bye.

01:04:02 Bye.

01:04:03 Bye.

01:04:04 Bye.

01:04:05 Bye.

01:04:06 Bye.

01:04:07 Bye.

01:04:08 Bye.

01:04:09 Bye.

01:04:10 Bye.

01:04:11 Bye.

01:04:12 Bye.

01:04:13 Bye.

01:04:14 Bye.

01:04:15 Bye.

01:04:16 you Thank you.