'Introduction to R dashboard development with Shiny Dashboard' with Anastasia Lucas

This introduction to Shiny Dashboards is for people who are interested in creating multi-Shiny app dashboards in R using the “shinydashboard” package. Topics such as reactivity, appearance (i.e. dashboard themes), profiling, and deployment will be covered. Over the course of the workshop, users will learn how to go from a raw data file to a working multi-app dashboard that can be updated based on user input.

The workshop will be suitable for beginner to intermediate R users or for those who are new to dashboard and app development. Former experience with Shiny is not necessary for this workshop. Some familiarity with R and/or data visualization methods would be helpful and assumed but not required, so novice users are encouraged to attend.

Speaker

Anastasia Lucas is a data analyst working in biomedical informatics and computational genomics research at the University of Pennsylvania’s Perelman School of Medicine. Her work in R mainly focuses on statistical analysis, package development, and data visualization.

[byrusmx]

Althought I already knew most of the contents presented, validate() was new to me and it's a good function to add to my toolset. Thanks for this.

[cacomixtle_cosmico]

46:20
```{r exercise 3, eval=FALSE}
Code...
```
Console:
Warning: Error in : Problem with `filter()` input `..1`.
i Input `..1` is `top_n_rank(input$select_topn, occurrences)`.

replace eval parameter:

```{r exercise 3, eval=TRUE}
Code...
```
Console:
No warnings