def bar1():
df = data_case()
barplot1 = df['case1_risk_diabet'].value_counts()
fig = go.Figure([go.Bar(x=barplot1.index, y=barplot1.values)])
fig_json = json.dumps(fig, cls=plotly.utils.PlotlyJSONEncoder)
return fig_json
def bar4():
df = data_case()
barplot1 = df[df['case2_diabet'] ==
'prediabet/undiag']['weight_stat'].value_counts()
fig = go.Figure([go.Bar(x=barplot1.index, y=barplot1.values)])
fig_json = json.dumps(fig, cls=plotly.utils.PlotlyJSONEncoder)
return fig_json