Add Streamlit app with Excel data visualization

[FabianaCampanari]

No description provided.

[Copilot]

Pull request overview

Adds a new Streamlit example app that visualizes an Excel credit dataset using tabbed views, aligning with the repository’s “Building dashboards in Python and Streamlit” materials.

Changes:

• Load credit data from an Excel file into a pandas DataFrame.
• Add Streamlit tabs to show the raw table, descriptive statistics, a bar chart, and a pie chart.
• Use Plotly Express for the pie chart visualization.

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[Copilot]

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)

[Copilot]

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()

[Copilot]

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.

[Copilot]

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")