Interactive Plotting And Web Dashboards

Build and publish interactive visualizations

R, Shiny, Data Visualization
Pre-Requisite
- Data Visualization in R
Difficulty: Intermediate
Associated Specializations:
- Data Visualization
Duration: 4 Days

Ad-Hoc Course Registration:

ON-SITE CLASS

Date: 14 – 17 December 2020
Time: 18.30 – 21.30
Venue: Menara Kadin Lantai 4, Jl. H. Rasuna Said, Jakarta Selatan
Investment: Rp. 5.200.000

ONLINE CLASS

Date: 14 – 17 December 2020
Time: 18.30 – 21.30
Investment: Rp. 2.600.000

Course details :

Building on the foundation from previous classes, we will create a series of interactive plots and gadgets that renders multiple visualization elements based on the user’s input. This is the final workshop leading up to the data visualization capstone project.

The 4-day course follows our learn-by-building approach, in that students are tasked to reproduce a series of plots applying what they’ve learned. It covers an exhaustive list of techniques that add interactivity to an R document and set the stage for the data science capstone project.

Download (PNG)

Schedule

Working with Plotly
Day 1
Publication & Layout Options
Day 1
Flex Dashboard
Day 2
Interactive Document
Day 2
Shiny Web App
Day 3
Learn-by-Building
Day 4

Course Producer

Samuel Chan

An RStudio-certified instructor and machine learning practitioner in the field of marketing automation, fraud detection, finance and e-commerce. Samuel is Indonesia’s top-ranked Stack Overflow user in R (top 5% worldwide) for three years running, and boasts certifications from RStudio, Microsoft, MongoDB, Neo4J Database, Stanford University, John Hopkins University, among others.

Prior to Algoritma, he has 8 years of working experience, including a stint as in-house consultant to several public-trading companies from his time staying in China, Japan and Singapore. He is today an active trainer and consultant for various companies in the financial industry. He has guest lectured in various campuses: Binus, NUS (National University of Singapore)’s The Logistics Institute, University of Indonesia, Universitas Gadjah Mada (UGM), Binus, Institute of Technology Bandung (ITB), Telkom University etc. Courses he authored are offered also in Singapore through Ngee Ann Polytechnic.

Samuel is also among the first recipients of Microsoft Professional Program Certificate in Data Science in Southeast Asia, having demonstrated proficiency in R, Python, Microsoft Azure, SQL / T-SQL, PowerBI and a list of other technologies, and among the first to be certified in RStudio’s program. Technical committee member and competition judge on Finhacks 2018, the largest Machine Learning competition of the year organized by PT. Bank Central Asia (BCA) and DailySocial.

4-Day Workshop Modules

Syllabus: Interactive Plotting & Web Dashboards

Module 1: Interactive Visualization

Working with Plotly

Refresher on dplyr
ggplotly Function
Visualization as an HTML Widget
Range Slider and Other Interactivity

Publication & Layout Options

Multiple Plots Arrangement
More Export Functions
Subplots
Tips and Techniques for Layout

Module 2: Web Dashboard Development

Flex Dashboard

Creating Flex Dashboard from RStudio
Layouts
Hands-on Practice: Text, Plots, Tables
Demonstration and Practical Advice

Interactive Document

Inputs and Outputs
The renderPlot() Function
Embedded Application
Demonstration and Practical Advice

Shiny Web App

Shiny Dashboard
Tabs and Pagination
UI, Server and Shiny Functions
Custom Styles, Structure

Academy Modules

Tips on Web Dashboard Deployment

Working with Live Data
App Deployment Solutions
Tips for Live Dashboard Performance

Learning-by-Building Module (4 Points)

Building an Interactive Dashboard

Applying what you’ve learned, create a paginated web dashboard with a rich set of UI elements coupled with the appropriate server logic. The web dashboard can be of any theme, using any dataset, but must feature an input panel that accepts end user inputs and render the output accordingly.

Ad-Hoc Course Registration:

ON-SITE CLASS

Date: 14 – 17 December 2020
Time: 18.30 – 21.30
Venue: Menara Kadin Lantai 4, Jl. H. Rasuna Said, Jakarta Selatan
Investment: Rp. 5.200.000

ONLINE CLASS

Date: 14 – 17 December 2020
Time: 18.30 – 21.30
Investment: Rp. 2.600.000

Workshop Receivables:

Workshop Lecturer’s Notes
Including 2x Course Books (PDF), HTML files, course transcripts (if any).
Highly-accelerated Learning
Learn under the assistance of mentorship of our lead instructor and a band of qualified teaching assistants throughout the 4-day course.
Certification of Completion
Show current and prospective employers that you’ve completed the course with a signed certificate of completion.
Quality Learning Environment
We pay meticulous attention to the logistical details of our workshops: quality audio and visual setups, comfortable sitting arrangements, small group size. Dinners are included for evening workshops.
Supplement Materials
Receive supplement datasets to practice on, reference notes, working files (R Notebook or Jupyter Notebook), and other materials that will help you master the topics.

This workshop is recommended for:

The Interactive Plotting and Web Dashboard workshop is an intermediate-level programming workshop best suited to R programmers that are taking their first steps into data science and data visualization.

Students are assumed to have a working knowledge of R and have completed the necessary pre-requisites. Consider taking the pre-requisite course or a beginner-level course instead if you have no prior programming experience or statistics knowledge.

Past Workshops in this Series:

Students work through tons of real-life examples using sample datasets donated by our team of mentors and corporate partners. We believe in a learn-by-building approach, and we employ instructors who are uncompromisingly passionate about your growth and education.

Part of the Data Visualization Specialization

This workshop is part of the Data Visualization specialization track offered by Algoritma Data Science Academy. Participants are rewarded with a certificate of completion upon passing criteria, and are encouraged to advance further in the respective data science specialization.

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PT. Algoritma Data Indonesia.
RDTX Square, 9th Floor. Setiabudi, DKI Jakarta 12930.
WhatsApp: 0816-692-471
Email: community@algorit.ma

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Interactive Plotting And Web Dashboards

Ad-Hoc Course Registration:

Course details :

Schedule

Course Producer

Samuel Chan

4-Day Workshop Modules

Module 1: Interactive Visualization

Working with Plotly

Publication & Layout Options

Module 2: Web Dashboard Development

Flex Dashboard

Interactive Document

Shiny Web App

Academy Modules

Learning-by-Building Module (4 Points)

Ad-Hoc Course Registration:

Workshop Receivables:

Workshop Lecturer’s Notes

Highly-accelerated Learning

Certification of Completion

Quality Learning Environment

Supplement Materials

This workshop is recommended for:

Past Workshops in this Series:

Hands-on Coding

Working through real-life examples

Demo and Presentation

Learn-by-building philosophy

Part of the Data Visualization Specialization

Get In Touch

Data Science School

Company