The document discusses building interactive dashboards in R Markdown. It provides examples of using different HTML widgets like value boxes, gauges, Plotly for plotting, DataTables for tables, and Leaflet for maps. It also demonstrates how to create interactivity between widgets using the crosstalk package, which allows interactions in one widget to affect others by linking them to a shared data frame. Limitations of crosstalk are noted, and it is mentioned that more complex general interactive controls require using Shiny.
Geographic information system and remote sensingchala hailu
ArcMap is where you create maps and access most of the ArcGIS functionality. Remote sensing is an instrument based of observing an object at a far distance without direct contact.
Everyday I'm Shuffling - Tips for Writing Better Spark Programs, Strata San J...Databricks
Watch video at: http://youtu.be/Wg2boMqLjCg
Want to learn how to write faster and more efficient programs for Apache Spark? Two Spark experts from Databricks, Vida Ha and Holden Karau, provide some performance tuning and testing tips for your Spark applications
LiDAR (“Light Detection and Ranging”) is a method of remote sensing that uses light to measure ranges. LiDAR systems generate many component measurements that result in valuable spatial data.
All of this information results in massive files that are bursting with potential, but limited in use by their size and complexity.
In this webinar, learn how data integration techniques can help you get the most out of LiDAR and point cloud data. We’ll cover how to:
- Quickly process point clouds and integrate them with other data sources
- Use LiDAR for 3D city modelling
- Make a digital terrain and surface model from a point cloud
- Integrate programs like LAStools into your workflows
By applying data integration automation, you save time, reduce manual effort, and ensure you get the most out of your LiDAR data.
Geographic information system and remote sensingchala hailu
ArcMap is where you create maps and access most of the ArcGIS functionality. Remote sensing is an instrument based of observing an object at a far distance without direct contact.
Everyday I'm Shuffling - Tips for Writing Better Spark Programs, Strata San J...Databricks
Watch video at: http://youtu.be/Wg2boMqLjCg
Want to learn how to write faster and more efficient programs for Apache Spark? Two Spark experts from Databricks, Vida Ha and Holden Karau, provide some performance tuning and testing tips for your Spark applications
LiDAR (“Light Detection and Ranging”) is a method of remote sensing that uses light to measure ranges. LiDAR systems generate many component measurements that result in valuable spatial data.
All of this information results in massive files that are bursting with potential, but limited in use by their size and complexity.
In this webinar, learn how data integration techniques can help you get the most out of LiDAR and point cloud data. We’ll cover how to:
- Quickly process point clouds and integrate them with other data sources
- Use LiDAR for 3D city modelling
- Make a digital terrain and surface model from a point cloud
- Integrate programs like LAStools into your workflows
By applying data integration automation, you save time, reduce manual effort, and ensure you get the most out of your LiDAR data.
With the ever increasing size of data and complexity of methods required to analyze them, the reproducibility of results is necessary to ensure a high quality of scientific research. In this workshop, we will discuss the main concepts and motivations for reproducible research (RR). Mr. Bhatnagar will then introduce useful tools for RR, including RStudio, knitr, and Markdown. We will work through several examples to see how these tools can be used to perform efficiently common tasks such as writing reports, Beamer presentations, running simulations, repetitive function calls that require single or multiple inputs to be changed, and sharing results. Basic knowledge of R and LaTeX is assumed.
This document introduces the theory behind geological database processes and provides detailed
examples using the geological database modelling functions in Surpac. By working through this
tutorial you will gain skills in the creation, use, and modification of geological databases.
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First day of slides for @GAFFTA workshop http://www.gaffta.org/2012/07/24/hacking-the-kinect-with-openframeworks/
Part 1 of the live stream : http://www.youtube.com/watch?v=WXfy8Cuje-0&feature=plcp
Part 2 of the live stream :
http://www.youtube.com/watch?v=I80FsOlMPj8&feature=plcp
LiDAR (“Light Detection and Ranging”) is a method of remote sensing that uses light to measure ranges. LiDAR systems generate many component measurements that result in valuable spatial data.
All of this information results in massive files that are bursting with potential, but limited in use by their size and complexity.
In this webinar, learn how data integration techniques can help you get the most out of LiDAR and point cloud data. We’ll cover how to:
- Quickly process point clouds and integrate them with other data sources.
- Use LiDAR for 3D city modelling.
- Make a digital terrain and surface model from a point cloud.
- Integrate programs like LAStools into your workflows
By applying data integration automation, you save time, reduce manual effort, and ensure you get the most out of your LiDAR data.
a billion desktops - check.
mobile support turned on by default - check.
Microsoft on board - check.
engines, tools, killer apps – check.
it's GO time.
My look at the WebGL landscape circa late 2013, presented at the GamesJS Meetup September 30th 2013. http://www.meetup.com/gamesjs/events/140781742/
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
With the ever increasing size of data and complexity of methods required to analyze them, the reproducibility of results is necessary to ensure a high quality of scientific research. In this workshop, we will discuss the main concepts and motivations for reproducible research (RR). Mr. Bhatnagar will then introduce useful tools for RR, including RStudio, knitr, and Markdown. We will work through several examples to see how these tools can be used to perform efficiently common tasks such as writing reports, Beamer presentations, running simulations, repetitive function calls that require single or multiple inputs to be changed, and sharing results. Basic knowledge of R and LaTeX is assumed.
This document introduces the theory behind geological database processes and provides detailed
examples using the geological database modelling functions in Surpac. By working through this
tutorial you will gain skills in the creation, use, and modification of geological databases.
Star Transformation, 12c Adaptive Bitmap Pruning and In-Memory optionFranck Pachot
Besides adaptive joins and adaptive parallel distribution, 12c comes with Adaptive Bitmap Pruning. I’ll describe the case it applies to and which is often not well known: the Star Transformation
First day of slides for @GAFFTA workshop http://www.gaffta.org/2012/07/24/hacking-the-kinect-with-openframeworks/
Part 1 of the live stream : http://www.youtube.com/watch?v=WXfy8Cuje-0&feature=plcp
Part 2 of the live stream :
http://www.youtube.com/watch?v=I80FsOlMPj8&feature=plcp
LiDAR (“Light Detection and Ranging”) is a method of remote sensing that uses light to measure ranges. LiDAR systems generate many component measurements that result in valuable spatial data.
All of this information results in massive files that are bursting with potential, but limited in use by their size and complexity.
In this webinar, learn how data integration techniques can help you get the most out of LiDAR and point cloud data. We’ll cover how to:
- Quickly process point clouds and integrate them with other data sources.
- Use LiDAR for 3D city modelling.
- Make a digital terrain and surface model from a point cloud.
- Integrate programs like LAStools into your workflows
By applying data integration automation, you save time, reduce manual effort, and ensure you get the most out of your LiDAR data.
a billion desktops - check.
mobile support turned on by default - check.
Microsoft on board - check.
engines, tools, killer apps – check.
it's GO time.
My look at the WebGL landscape circa late 2013, presented at the GamesJS Meetup September 30th 2013. http://www.meetup.com/gamesjs/events/140781742/
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
The Indian economy is classified into different sectors to simplify the analysis and understanding of economic activities. For Class 10, it's essential to grasp the sectors of the Indian economy, understand their characteristics, and recognize their importance. This guide will provide detailed notes on the Sectors of the Indian Economy Class 10, using specific long-tail keywords to enhance comprehension.
For more information, visit-www.vavaclasses.com
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Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
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It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
This is a presentation by Dada Robert in a Your Skill Boost masterclass organised by the Excellence Foundation for South Sudan (EFSS) on Saturday, the 25th and Sunday, the 26th of May 2024.
He discussed the concept of quality improvement, emphasizing its applicability to various aspects of life, including personal, project, and program improvements. He defined quality as doing the right thing at the right time in the right way to achieve the best possible results and discussed the concept of the "gap" between what we know and what we do, and how this gap represents the areas we need to improve. He explained the scientific approach to quality improvement, which involves systematic performance analysis, testing and learning, and implementing change ideas. He also highlighted the importance of client focus and a team approach to quality improvement.
How to Split Bills in the Odoo 17 POS ModuleCeline George
Bills have a main role in point of sale procedure. It will help to track sales, handling payments and giving receipts to customers. Bill splitting also has an important role in POS. For example, If some friends come together for dinner and if they want to divide the bill then it is possible by POS bill splitting. This slide will show how to split bills in odoo 17 POS.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
13. 13
Sync up your interactive dashboards
with crosstalk
Github repo: rstd.io/conf20-rmd-dash rstudio.cloud workspace: rstd.io/RMAID
14. rstudio.cloud workspace: https://bit.ly/3btckmk
If you want to play with crosstalk
yourself• Create an RStudio.cloud account (you only need an email address)
• Go to
rstudio.cloud workspace: https://bit.ly/3btckmk
20. rstudio.cloud workspace: https://bit.ly/3btckmk
HTML Widgets Create Display
Interactivity• HTML Widgets create interactivity within a Flexdashboard layout pane.
• See all 106 submitted HTML Widgets at: http://gallery.htmlwidgets.org
• You can develop your own if you know Javascript.
• We'll focus on a few:
• Valueboxes and Gauges for individual values
• Plotting with plotly
• Tables with datatable (DT)
• Maps with leaflet
21. rstudio.cloud workspace: https://bit.ly/3btckmk
Valueboxes Show Single Values
• They dress up single values with an icon and a color
alueBox(params$conf_attendees, "Attendees", icon = "fa-users")
valueBox(paste0(mixers_sat_percent, "%"),
icon = "fa-paper-plane",
color = ifelse(mixers_sat_percent >= 50,
ifelse(mixers_sat_percent >= 75, params$success_color,
params$warning_color),
params$danger_color))
22. rstudio.cloud workspace: https://bit.ly/3btckmk
Gauges Show Single Values In
Context• They dress up single values with an icon and a color
gauge(my_weather$temperature, min = gauge_minimum_temp, max = gauge_maximum_temp
sectors = gaugeSectors(warning = c(gauge_minimum_temp, gauge_cold_temp),
success = c(gauge_cold_temp,gauge_hot_temp),
danger = c(gauge_hot_temp,gauge_maximum_temp),
colors = gauge_colors))
23. rstudio.cloud workspace: https://bit.ly/3btckmk
Plotting With Plotly
• Plotly allows you to make any ggplot interactive
• Simply assign your ggplot output to a variable and ggplotly that variable
ggplot(mtcars, aes(disp, hp, color = cyl)) + geom_point()
g <- ggplot(mtcars, aes(disp, hp, color = cyl)) + geom_point()
ggplotly(g)
24. rstudio.cloud workspace: https://bit.ly/3btckmk
Tables With Data Table
• Displays tables in a nice paged output
• Allows interactive searching and sorting of a table
• Easy to use: just use DT::datatable(data_frame) to display your table.
• Gotcha: the data table library is called DT, not datatable.
DT::datatable(mtcars)
25. rstudio.cloud workspace: https://bit.ly/3btckmk
Maps With Leaflet
• An easy way to create maps with overlays
• All you need is a data.frame or tibble that has columns lat and lng for
latitude and longitude
• leaflet() %>% addTiles() gives you a basic map
• Usually you just pipe in new layers of markers or polygons that show your
data
leaflet() %>%
addTiles() %>%
addCircleMarkers(data =
latest_earthquakes)
26. Look at a super-simple dashboard
1. Click on 43-simple-map-and-table.Rmd in the Files pane to open
that file
2. Click Knit
3. Try again if you get a warning about pop-ups
4. Notice that while these 10 earthquakes are interesting, there's no
interactivity
Hint: make one change at a time and test each one before knitting.
EXERCISE
43
27. Can we increase the
interactivity without
adding complexity?
28. rstudio.cloud workspace: https://bit.ly/3btckmk
We can create cross-Widget interactivity using
crosstalk
• Crosstalk is an R package that allows interactions in one widget to affect
another
• Documentation is here: https://rstudio.github.io/crosstalk/index.html
• The data used in crosstalk must be a data frame
• Crosstalk only works with HTML widgets designed to support it -- a list of
those is here: https://rstudio.github.io/crosstalk/widgets.html
33. Try a simple crosstalk app
1. Click on 44-simple-crosstalk.Rmd in the Files
pane
2. Knit the result
3. Click on the box symbol on the map
4. Draw boxes on the map and see the datatable change
5. Click on specific rows on the table to see that row
highlighted
EXERCISE
44
35. Experiment with filtering
1. Click on 45-filtered-crosstalk.Rmd in the Files
pane
2. Knit the result
3. Click on the box symbol on the map
4. Draw boxes on the map and see the datatable change
5. Click on specific rows on the table to see that row
highlighted
EXERCISE
45
37. Experiment with crosstalk and plotly
1. Click on 46-crosstalk-multiple.Rmd in the Files
pane
2. Knit the result
3. Click on the Box Select icon in the plotly displays and
then brush across points you want to see
4. Watch the other plots and tables change
EXERCISE
46
38. rstudio.cloud workspace: https://bit.ly/3btckmk
Beware: crosstalk has limitations
• It only works with widgets designed for it
• leaflet
• plotly
• datatable
• a few others
• All your data must fit in browser memory
• Controls are limited to filtering a data frame
• Check out documentation at
• https://rstudio.github.io/crosstalk/index.html
40. rstudio.cloud workspace: https://bit.ly/3btckmk
Summary
• Dashboards consist of 3 components
• Layouts constructed using R Markdown headers and YAML directives specifying
• Row orientation
• Column orientation
• Storyboard panes
• Displays built from R code and HTML widgets
• Valueboxes
• Plotly
• Datatable
• Leaflet
• Interactive controls which need crosstalk, Shiny, or some other mechanism
