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import streamlit as st | |
import pandas as pd | |
import plotly.express as px | |
st.set_page_config(page_title="Customer Analysis", page_icon=":mag:") | |
st.title("Customer Analysis") | |
st.markdown(""" | |
Use the tools below to explore your customer data. | |
""") | |
# Cargar y visualizar datos | |
uploaded_file = st.file_uploader("Upload your CSV file", type="csv") | |
if uploaded_file: | |
df = pd.read_csv(uploaded_file) | |
st.write("## Dataset Overview", df.head()) | |
# Mostrar un gráfico interactivo | |
st.markdown("### Sales per Customer") | |
customer_sales = df.groupby("CLIENTE")["VENTA_ANUAL"].sum().reset_index() | |
fig = px.bar(customer_sales, x="CLIENTE", y="VENTA_ANUAL", title="Annual Sales per Customer") | |
st.plotly_chart(fig) |