- Видео 8
- Просмотров 7 181
Ash | Dashboards & Data Visualisation
Австралия
Добавлен 14 ноя 2015
Hi, I'm Ashleigh. I like to build interactive data visualisations and dashboards that are both aesthetically pleasing and functional.
Interactive Forecast Visualisations With R Plotly
In this video I'll show how I create interactive forecast data visualisations in R Plotly. The charts contain time series data, forecast values, and confidence intervals, which can all be inspected interactively with Plotly by hovering over points, zooming and panning around.
00:00 Introduction
00:13 Dataset used
00:33 Data wrangling & forecasting
02:54 Visualising forecasts
12:56 Outro
🔗 Code: github.com/ashleighlatter/data-visualisation/blob/main/plotly_forecasting.R
🔗 Data: www.kaggle.com/datasets/georgerocha/airpassengers?resource=download
00:00 Introduction
00:13 Dataset used
00:33 Data wrangling & forecasting
02:54 Visualising forecasts
12:56 Outro
🔗 Code: github.com/ashleighlatter/data-visualisation/blob/main/plotly_forecasting.R
🔗 Data: www.kaggle.com/datasets/georgerocha/airpassengers?resource=download
Просмотров: 275
Видео
R Shiny Date Widgets
Просмотров 3862 месяца назад
In this tutorial I’ll walk through how to create dateInput and dateRangeInput widgets in R Shiny, how to extract the selected values from those widgets, and how to update the widgets after they’ve already been created. I’ll also showcase a few other options from different packages that include time widgets. 00:00 Introduction 00:33 Adding date widgets 02:24 Customisation 05:02 Extract selected ...
Plotly Modebar Customisation
Просмотров 4313 месяца назад
In R Plotly you can control which buttons show up in the modebar. In this video I’ll show how to add new buttons, remove specific buttons, remove the Plotly logo, and hide the modebar completely. 00:00 Introduction 00:19 Default buttons 01:30 Add buttons 03:34 Remove buttons 04:11 Remove plotly logo 04:33 Hide modebar 04:45 Outro 🔗 Code: github.com/ashleighlatter/plotly 🔗 Modebar buttons summar...
Editable R Plotly Charts
Просмотров 5263 месяца назад
With some simple code additions, you can manually edit text fields, drag the legend around, and resize and reposition lines and shapes on a chart after it has already been created. 00:00 Introduction 00:13 Example starting chart 00:47 Edit text and legend 02:28 Edit existing shapes 03:47 Interactively draw and edit shapes 05:44 Outro 🔗 Code: github.com/ashleighlatter/plotly
Editable R tables with rhandsontable
Просмотров 1,6 тыс.3 месяца назад
rhandsontable is an R package that lets you build tables you can interact with - you can click to add new rows, edit values, drag columns around and more. In this video I’ll show you how to get started with rhandsontable, some basic customisation, and how to use it in R Shiny. 00:00 Introduction 00:28 Create a table 04:36 Data validation 05:50 Read-only 08:14 Freeze rows and columns 08:51 Move ...
Simple Filter Setup in R Shiny
Просмотров 6234 месяца назад
In this video I walk through two straightforward methods for setting up filters in R shiny: instant filtering, and filtering activated by an "update" button. 🔗 Code: github.com/ashleighlatter/shiny-basics/tree/main/filtering 🔗 bs4dash shiny template: ruclips.net/video/LY6K_GD4ypc/видео.html 00:00 Introduction 00:23 Example data & dashboard 01:14 Method 1: Instant filtering 05:21 Method 2: Refre...
Intro to bs4dash: Improved R Shiny Dashboards
Просмотров 2,7 тыс.4 месяца назад
In this video I'll walk you through the process of building an R Shiny dashboard using bs4dash, and showcase some of the additional features that the package has to offer, like dark mode and draggable boxes. 00:00 Introduction 00:41 Basic structure 02:54 Header alterations 06:44 Jumbotron, social box, quotes and footer 10:25 Info boxes 11:27 Draggable boxes 13:16 Box customisation 17:39 Scroll ...
Intro to shinydashboardPlus: Enhanced R Shiny Dashboards
Просмотров 7354 месяца назад
In this tutorial I’ll show you how to convert an existing R shiny dashboard into a shinydashboardPlus version and add additional features include a control bar, footer, box sidebars, semi-collapsible header and a logo to your title. 00:00 Introduction 00:29 Why shinydashboardPlus? 01:08 shinydashboard example 02:36 Setting up 03:14 Control bar (right hand sidebar) 04:25 Footer 05:12 Box sidebar...
kudos to you🎉
Hello Ash, the download button is not displaying the table and if I want to download it as csv, what should be changed in the code?
cool to hear fellow Australian voice and possibly a fellow Melbournian too
Thanks! This is the first instruction video to RShiny, which really leads me through on how to use rhandsontable!'
Hi Ash, This is a great demonstration of the improved shiny dashboard it would be another fantastic post if you can work us on the leaflet map more: 1.Creating a customized search bar on the leaflet map 2.Searching the bird name to find the places and location on the map 3. To enable the search bar show up to 10 of the listed birds and quantity as drop down to select from by a click 4. after clicking the map, takes to the specific map area with clustered groups for further info 5. if the data is huge, is there any package to use for faster search results?
Great job
I'm making an app to save inputs in a Google Sheets with this package. It's working very well, but I wanted to make it look more like a table. Has anyone done this?
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Ash! Have watched several of your tutorials now and just want to say they are great! Keep up the good work. Separately- one of my apps has a requirement to be able to drag rows from one DT::datatable into another. Have you done this before? I’ve seen some things online, but implementation looks complicated.
Fantastic ❤
I have a longer header title for my right UI than bird sights. Is there a way to extend the margin of the right UI so that I can a longer header tittle there?
This is a hot_package.
Thank you for sharing this
Please upload more and more videos!!! Really helpful! Especially R Shiny web development
AWESOME!!!!
Wow...this is super cool..
You are awesome, thank you!
This is awesome 🎉
Great tut
You are an excellent instructor - keep them coming !
Thank you for the kind words ☺️
👏🎉👏 well done
thanks you for sharing
thank you for teaching
Very nicely explained! Can you also cover topics like data pipelines using different data sources into the shiny apps like sas, xpt or excel?
Great idea, I’ll add that to my list of future video topics 😊
Excellent video! I usually use the DT package to make shiny apps with databases and google maps+ photos embedded in the cells for editing. I think I'm going to try to use the rhandsontable package for this same purpose. Do you know if the rhandsontable package has any performance limitations with large volumes of data? Thanks for sharing this tutorial! Ignacio.
Thanks! I haven’t seen anything about performance limitations so far, but I also haven’t used it for large datasets myself. There is a “big data” example on this webpage tutorial that works well, but I’m guessing it’s not as large as what you’re using jrowen.github.io/rhandsontable/#Big_Data
@@ashdatavis Yes, I'm testing with few columns (10) for 9000 rows. I have to use it on 65 thousand rows and in shiny. We'll see how it turns out. Thanks a lot Ashleigh for the link with the "big data" example!
Very helpful, thank you
🎉🎉 wonderful It would be nicer if 1/2 plots to show some effects
Thanks for the helpful feedback 😊
Well, I have always used different software for these edits if small changes, so this is actually helpful for me saving time to go back and forth from one app to another. Thanks. but when I ran this code for hands in table, it doesnt show any output. I have gathered some solutions online, but didn't work out. Any suggestion from you?
@@45tanviirahmed82 what happens when you try to run the code? Are you getting any error messages?
Excellent video, thanks for sharing
Your videos are excellent! Does library this work in shiny?
Thank you! Yes it works in shiny, covered in the last part (from 11:00) 😊
I was thinking of exporting data to excel for this purpose, now I can do it all inside R, awesome!
Beautiful
OMG I never know it can be like that... thank youu!
I'm doing projects in R. And i think your contents are great. Keep going.
Thank you! ☺️
Nice tutorial 😊
Subscribed. 🎉
Keep up the good work!
Never knew about this...thnx....your other videos are helpful too
Excellent !
Wow!... very comprehensive. Thank you very much...
Great presentation and pacing! Thanks.
Very nice! Thank you for the tutorial!
Glad you liked it! 😊
Thanks for unexpected possibilies of plotly !
One of the best channel I know, thank you for this amazing content! 🎉
@@blaisepascal3905 thank you ☺️
Subscribed ! 🤩
Keep up the great work!!!
Hi, I’m a beginner Shiny programmer and this is very helpful. Can you briefly compare bs4dash and shinydashboardPlus specifically addressing 1. Ease of use for beginners 2. Number of features 3. Modularity 4. Rendering in mobile devices Yeah, I know I said briefly 😅 Thanks.
@@gecarter53 I can’t really speak much to point 3 and 4, but I’d say both of them are about the same for beginners - especially now they’ve both been updated to match the default shinydashboard function names. Bs4dash seems to have more functionality at the moment. There are extra components, but also extra styling options like box shadowing. So I’d probably recommend Bs4dash if you want more features. And again for beginners I don’t think these extra things make it more difficult to learn because they’re optional anyway and probably wouldn’t really notice them unless you’re diving into the detail 😊
Beautiful 😮😮😮 wow 🎉🎉
Amazing, thanks for the tutorial 🎉
Glad you found it helpful 😊
Super helpful - thank you!