Duplicate from alonsosilva/observatorio_de_sueldos_en_Chile

Co-authored-by: Alonso Silva Allende <[email protected]>

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+title: Observatorio De Desigualdad
+emoji: 🐠
+colorFrom: green
+colorTo: indigo
+sdk: streamlit
+sdk_version: 1.19.0
+app_file: app.py
+pinned: false
+license: mit
+duplicated_from: alonsosilva/observatorio_de_sueldos_en_Chile
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import streamlit as st
+import pandas as pd
+import plotly.graph_objects as go
+
+PERCENTILES = {
+	0.05: 81069,
+	0.06: 100000,
+	0.07: 116412,
+	0.08: 130566,
+	0.09: 150000,
+	0.1: 157072,
+	0.11: 180783,
+	0.12: 198996,
+	0.13: 200000,
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+	0.16: 248745,
+	0.17: 253342,
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+	0.2: 298494,
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+	0.22: 301305,
+	0.23: 304011,
+	0.24: 318393,
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+	0.6: 547219,
+	0.61: 552985,
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+	0.64: 596987,
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+}
+
+st.header("Observatorio de sueldos en Chile")
+
+sueldo = st.number_input(
+	"Ingrese su sueldo líquido mensual",
+	value = 500_000,
+	min_value = 100_000,
+	format = "%d",
+)
+
+DF_CURVA = pd.Series(PERCENTILES)
+aux = DF_CURVA[DF_CURVA<sueldo]
+if DF_CURVA.iloc[-1] <sueldo:
+    percentile_sueldo = 99
+else:
+	percentile_sueldo = int(100*DF_CURVA[DF_CURVA>=sueldo].index[0])
+st.write(percentile_sueldo, '% de las personas ocupadas ganan menos que usted.')
+fig = go.Figure()
+fig.add_trace(go.Scatter(x=list(DF_CURVA.index), y=list(DF_CURVA.values), hovertemplate='Sueldo mensual: %{y:$,.0f}<extra></extra>'))
+fig.add_trace(go.Scatter(x=list(aux.index), y=list(aux.values), fill='tozeroy', hovertemplate='<extra></extra>'))
+fig.update_layout(
+	title = f'{percentile_sueldo} % de las personas ocupadas ganan menos que usted.',
+	yaxis_title = 'Sueldos mensuales',
+	xaxis = dict(
+		tickmode = 'array',
+		tickvals = [.1*i for i in range(11)],
+		ticktext = [f'{10*i}%' for i in range(11)]
+	),
+	xaxis_tickformat=',.0%',
+	yaxis_tickformat=',.0'.replace(',',','),
+	yaxis = dict(
+		tickmode = 'array',
+		tickvals = [500_000*i for i in range(9)],
+		ticktext = [f'${500_000*i:,}'.replace(',','.') for i in range(9)]
+	),
+	showlegend=False
+)
+fig.update_layout(
+	hovermode="x",
+	hoverlabel=dict(
+		bgcolor="white",
+	)
+)
+st.plotly_chart(fig, use_container_width=True)

requirements.txt

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+streamlit
+pandas
+plotly