Creating Dashboards

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# What were the challenges that you faced when planning the dashboard?

---

# Essential tips and considerations

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## 1. Your audience and use cases

- Who is going to use your dashboard?

- For what purposes will they use your dashboard?

- Do not use user specific-tabs

---

## 2. Decide on the goals

What information will the user/ users be looking at?

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## 3. Display information clearly and effectively

## 4. Communicate information quickly

Your dashboard should be,

- simple,
  
  - easy to understand,
  
  - easy to read,
  
  - helpful without increasing **cognitive load**.

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## 5. Select an appropriate color theme

## 6. Clear and consistent naming conventions

## 7. Effectively use the space

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## 8. Use the right type of visualization

**What do you want to show?**

- Composition

- Comparison

- Distributions

- Relationships

**Types of visualizations**

- Static

- Dynamic

- Interactive

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## Static

<img src="lecture2_files/figure-html/unnamed-chunk-1-1.png" width="100%" />
 
---

## Interactive

<div id="htmlwidget-287f81116cf6cbf43acb" style="width:100%;height:252px;" class="plotly html-widget"></div>
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---
## Dynamic

---
## 9. Use interactive filters

- Chart zoom

- Drill-through

- Drill-downs

- Click-to-filters

- Cross tabs

---
## 10. Optimize for multiple screens

- Desktop

- Mobile, etc.

---

# Let's create a dashboard

Packages

library(shiny)

library(shinydashboard)

library(scemantic.dashboard)

library(flexdashboard)