I cannot figure out how to transform a dash_table.DataTable server-side call back in a client-side callback in Plotly Dash using javascript.

Below an example:

def function1(data):
    df = pd.DataFrame(data)
    .....
    return df

app = Dash(__name__)

app.layout = dbc.Container([
    dcc.Interval('live-update', interval=50000, n_intervals=0),
    dcc.Store(id='stored_data'),
    dcc.Store(id='stored_data1'),
    html.Div(id='t1')])

@app.callback(
    Output('stored_data', 'data'),
    Input('live-update', 'n_intervals'))
def stored_data(n):
    return pd.read_csv('Test.csv').to_dict('records')

@app.callback(
    Output('stored_data1', 'data'),
    Input('stored_data', 'data'))
def table_1(data):
    df = function1(data)
    df = dash_table.DataTable(
        data=df.to_dict('records'),
        columns=[{'id': i, 'name': i,
                 'type': 'numeric'} for i in df.columns])
    return df

app.clientside_callback(
    """
    function(data) {
        return {
           data[type=table]
             }
        }
    """,
    Output('t1', 'children'),
    Input('stored_data1', 'data'),
)

With a server-side callback I would Output directly the t1 within the second callback however I don't understand how to use the clientside_callback, all examples I found are using a chart not a table.