MWE for Dash frequency bar chart

app.py

import pandas as pd
from random import choices
import dash
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
import numpy as np
import plotly.graph_objects as go
from dash.dependencies import Input, Output

df = pd.DataFrame(choices([1, 2, 3, 4, 5], k=100) for i in range(0, 6)).T
df.columns = ["E", "T", "A", "O", "I", "N"]

app = dash.Dash()

def create_fig(data, selected_column):
    filtered_df = pd.crosstab(data[selected_column
                              ], columns="count").reset_index()

    fig = go.Figure()

    traces = go.Bar(
        x = filtered_df[selected_column].values,
        y = filtered_df["count"]
    )

    fig.add_trace(traces)

    return fig

app.layout = html.Div([
    dcc.Graph(id = "freq_graph", figure=create_fig(df, list(df.columns)[0])),
    dcc.Dropdown(id = "column_pick",
                 options=[{"label": str(i), "value": i} for i in list(df.columns)],
                 value=list(df.columns)[0])
])


@app.callback(
    Output("freq_graph", "figure"),
    [Input("column_pick", 'value')])
def update_fig(selected_column):
    return create_fig(df, selected_column)

if __name__ == '__main__':
    app.run_server(debug=True)