# Is this how to load dash datatable from a Dict?

**URL:** <https://discourse.julialang.org/t/is-this-how-to-load-dash-datatable-from-a-dict/82462>\
**Category:** Web Stack\
**Tags:** dashtable\
**Created:** [June 8, 2022, 8:59pm UTC](https://discourse.julialang.org/t/is-this-how-to-load-dash-datatable-from-a-dict/82462 "2022-06-08T20:59:21Z")\
**Posts on this page:** 1\
**Page:** 1

<div class="post-metadata">

**Author:** ![anon69491625](https://avatars.discourse-cdn.com/v4/letter/a/aeb1de/32.png) [@anon69491625](https://discourse.julialang.org/u/anon69491625)\
**Post date:** [June 8, 2022, 8:59pm UTC](https://discourse.julialang.org/t/is-this-how-to-load-dash-datatable-from-a-dict/82462/1 "2022-06-08T20:59:21Z")

</div>

Hi all

I’m going to be looking at using Dash to represent a Dict I build from a stream of realtime data. Here’s an example.

```julia
data_flow = 
Dict{String, Any}("AMZN" => Dict{String, Any}("hv10" => "45.99", "price" => "122.16", "iv_%" => "83.4", "hv20" => "52.14", "iv" => "40.64", "hv5" => "41.21", "prc_%" => "7.51"), "VZ" => Dict{String, Any}("hv10" => "13.87", "price" => "51.27", "iv_%" => "65.61", "hv20" => "12.71", "iv" => "17.62", "hv5" => "10.32", "prc_%" => "19.37"), "C" => Dict{String, Any}("hv10" => "21.26", "price" => "51.78", "iv_%" => "72.73", "hv20" => "42.75", "iv" => "31.75", "hv5" => "20.79", "prc_%" => "11.86"), "IEX" => Dict{String, Any}("hv10" => "19.16", "price" => "195.55", "iv_%" => "70.36", "hv20" => "24.97", "iv" => "27.62", "hv5" => "18.77"))

```

I’m wondering what the julia approach is to setting up the dash.DataTable. I got the approach for a dataframe which looks straightforward to my noob eyes but what is the approach when the data is already in a Dict and updated real time.

from [setting up data datatable using df](https://dash.plotly.com/julia/datatable/interactivity)

```julia
app.layout = html_div([
 dash_datatable(
      id="datatable-interactivity",
      columns=[ 
                 Dict("name" => i, "id" => i, "deletable" => true, "selectable" => true) for i in keys(data_flow)
                     ],
      data=Dict.(pairs.(eachrow(df))),

```

so I’d just put in the line

```julia
columns=[
          Dict("name" => i, "id" => i, "deletable" => true, "selectable" => true) for i in Keys = keys(data_flow) ],

Values = values( data_flow)

data = Dict.(pairs.(Values) ) 

```