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Add Streamlit app with Excel data visualization #228

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FabianaCampanari merged 1 commit into from
Apr 11, 2026
Merged

Add Streamlit app with Excel data visualization #228

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35 changes: 35 additions & 0 deletions ...ashboards in Python and Streamlit./Streamlit/Codes/part_03_streamlit_excel_tabs_charts.py
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import streamlit as st
import pandas as pd
import plotly.express as px

df = pd.read_excel("BASE01.CREDITO.xlsx")

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Copilot AI Apr 11, 2026

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pd.read_excel("BASE01.CREDITO.xlsx") relies on the current working directory; when running streamlit run .../Streamlit/Codes/part_03_streamlit_excel_tabs_charts.py from the repo root this file is not found (the dataset lives under .../Streamlit/Datasets/ and .../Datasets/). Use a path built relative to __file__ (e.g., Path(__file__).parent.parent / "Datasets" / ...) or provide a st.file_uploader so the app works regardless of where it’s launched from.

Suggested change
df = pd.read_excel("BASE01.CREDITO.xlsx")
from pathlib import Path
script_dir = Path(__file__).resolve().parent
excel_name = "BASE01.CREDITO.xlsx"
excel_candidates = [
script_dir.parent / "Datasets" / excel_name,
script_dir.parent.parent / "Datasets" / excel_name,
]
excel_path = next((path for path in excel_candidates if path.exists()), excel_candidates[0])
df = pd.read_excel(excel_path)

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Copilot AI Apr 11, 2026

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This Excel read happens at the top level, so Streamlit will re-read the file on every rerun (widget interaction, code change), which can noticeably slow the app. Wrap the load in a small function decorated with st.cache_data (and optionally accept a path argument) so the data is cached across reruns.

Suggested change
df = pd.read_excel("BASE01.CREDITO.xlsx")
@st.cache_data
def load_data(path="BASE01.CREDITO.xlsx"):
return pd.read_excel(path)
df = load_data()

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df_media_sexo = (
df[["sexo", "valorcredito"]]
.groupby(by=["sexo"])
.sum()
.reset_index()
)
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The name df_media_sexo suggests a mean/average (“média”), but the aggregation is .sum(). Rename the variable to match the aggregation (e.g., soma/total) or change the aggregation to .mean() if the intention is an average, to avoid misleading future readers.

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st.title("Layout: Sidebar, Colunas e Abas")
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The page title says "Sidebar, Colunas e Abas", but this script only demonstrates tabs/charts (no st.sidebar or st.columns). Consider updating the title to reflect the actual layout being used so the UI description matches the content.

Suggested change
st.title("Layout: Sidebar, Colunas e Abas")
st.title("Layout: Abas e Gráficos")

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# ABAS
aba1, aba2, aba3, aba4 = st.tabs(
["Tabela", "Estatísticas", "Gráfico", "Pizza"]
)
with aba1:
st.dataframe(df)
with aba2:
st.write(df.describe())
with aba3:
st.bar_chart(data=df_media_sexo, x="sexo", y="valorcredito")
with aba4:
fig = px.pie(
df_media_sexo,
names="sexo",
values="valorcredito",
color_discrete_sequence=["red", "blue"],
)
st.plotly_chart(fig)