text_html_output_1.png
import pandas as pd

import plotly.express as px

train = pd.read_csv('../input/hr-analytics-job-change-of-data-scientists/aug_train.csv')

import plotly.express as px
from plotly.subplots import make_subplots
import plotly.graph_objs as go
cd = train['city_development_index'].value_counts().reset_index()
cd.columns = ['city_development_index', 'count']
cd['city_development_index'] = cd['city_development_index'].astype(str) + '-'
cd = cd.sort_values(['count']).tail(50)
fig = px.bar(cd, x='count', y='city_development_index', orientation='h', title='City development index', width=1000, height=900)
fig.show()