miletus on Nostr: Bellow is the correct code. Explain the difference. from dash import Dash, dcc, html, ...

Bellow is the correct code. Explain the difference.

from dash import Dash, dcc, html, Input, Output, dash_table
import pandas as pd

# Create the Dash app
app = Dash(__name__)

# Read the Data
df = pd.read_csv('data.csv')

# Create a Dash Layout
app.layout = html.Div([
# Add a header and a paragraph
html.H1("Dashboard Showing DatePickerSingle"),
html.P("This dashboard filters data based on DatePickerSingle"),
# Add a DataTable
dcc.DatePickerSingle(
id='date_picker_single',
min_date_allowed=df['date'].min(),
max_date_allowed=df['date'].max(),
initial_visible_month=df['date'].min(),
date=df['date'].max()
),
# Add a Table
dash_table.DataTable(id='table', data=df.to_dict('records'), columns=[{"name": i, "id": i} for i in df.columns])
])


# Update the Index
@app.callback(
Output('table', 'data'),
[Input('date_picker_single', 'date')])
def update_table(selected_date):
# Filter the data based on the selected date
filtered_df = df[df['date'] == selected_date]

# Create the Table
table_data = filtered_df.to_dict("rows")

return table_data


# Run the Dash app
if __name__ == '__main__':
app.run_server(debug=True)