Add app file

app.py

@@ -0,0 +1,148 @@
+import streamlit as st
+import pandas as pd
+import plotly.graph_objects as go
+
+
+PERCENTILES = {
+#    0.0: 0,
+#    0.01: 0,
+#    0.02: 20000,
+#	0.03: 49749,
+#	0.04: 60326,
+	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,
+	0.14: 202674,
+	0.15: 230835,
+	0.16: 248745,
+	0.17: 253342,
+	0.18: 273619,
+	0.19: 288544,
+	0.2: 298494,
+	0.21: 300000,
+	0.22: 301305,
+	0.23: 304011,
+	0.24: 318393,
+	0.25: 321378,
+	0.26: 328343,
+	0.27: 334412,
+	0.28: 337000,
+	0.29: 344546,
+	0.3: 348242,
+	0.31: 350000,
+	0.32: 353326,
+	0.33: 354679,
+	0.34: 368142,
+	0.35: 378092,
+	0.36: 382040,
+	0.37: 395214,
+	0.38: 397991,
+	0.39: 397991,
+	0.4: 400000,
+	0.41: 400000,
+	0.42: 403321,
+	0.43: 405348,
+	0.44: 410000,
+	0.45: 420548,
+	0.46: 435749,
+	0.47: 447740,
+	0.48: 450000,
+	0.49: 452000,
+	0.5: 457690,
+	0.51: 476284,
+	0.52: 486426,
+	0.53: 497489,
+	0.54: 497489,
+	0.55: 500000,
+	0.56: 500000,
+	0.57: 506685,
+	0.58: 506685,
+	0.59: 525000,
+	0.6: 547219,
+	0.61: 552985,
+	0.62: 570000,
+	0.63: 596987,
+	0.64: 596987,
+	0.65: 600000,
+	0.66: 605000,
+	0.67: 610000,
+	0.68: 641761,
+	0.69: 658690,
+	0.7: 690000,
+	0.71: 700000,
+	0.72: 703428,
+	0.73: 726677,
+	0.74: 750000,
+	0.75: 795983,
+	0.76: 800000,
+	0.77: 803480,
+	0.78: 820829,
+	0.79: 861364,
+	0.8: 895481,
+	0.81: 912032,
+	0.82: 972834,
+	0.83: 994978,
+	0.84: 1004351,
+	0.85: 1023503,
+	0.86: 1094476,
+	0.87: 1193974,
+	0.88: 1201000,
+	0.89: 1293471,
+	0.9: 1388316,
+	0.91: 1492468,
+	0.92: 1520000,
+	0.93: 1600000,
+	0.94: 1800000,
+	0.95: 1989957,
+	0.96: 2067273,
+	0.97: 2487446,
+	0.98: 2984935,
+	0.99: 3979914
+}
+
+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]
+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)