ba1aef5727
Co-authored-by: bastien ollier <bastien.ollier@etu.uca.fr> Co-authored-by: clfreville2 <clement.freville2@etu.uca.fr> Reviewed-on: https://codefirst.iut.uca.fr/git/clement.freville2/miner/pulls/2 Reviewed-by: Clément FRÉVILLE <clement.freville2@etu.uca.fr> Co-authored-by: Bastien OLLIER <bastien.ollier@noreply.codefirst.iut.uca.fr> Co-committed-by: Bastien OLLIER <bastien.ollier@noreply.codefirst.iut.uca.fr>
48 lines
1.1 KiB
Python
48 lines
1.1 KiB
Python
import pandas as pd
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import streamlit as st
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st.set_page_config(
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page_title="Project Miner",
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layout="wide"
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)
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st.title("Home")
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### Exploration
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uploaded_file = st.file_uploader("Upload your CSV file", type=["csv"])
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if uploaded_file is not None:
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st.session_state.data = pd.read_csv(uploaded_file)
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st.success("File loaded successfully!")
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if "data" in st.session_state:
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data = st.session_state.data
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st.write(data.head(10))
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st.write(data.tail(10))
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st.header("Data Preview")
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st.subheader("First 5 Rows")
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st.write(data.head())
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st.subheader("Last 5 Rows")
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st.write(data.tail())
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st.header("Data Summary")
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st.subheader("Basic Information")
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col1, col2 = st.columns(2)
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col1.metric("Number of Rows", data.shape[0])
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col2.metric("Number of Columns", data.shape[1])
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st.write(f"Column Names: {list(data.columns)}")
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st.subheader("Missing Values by Column")
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missing_values = data.isnull().sum()
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st.write(missing_values)
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st.subheader("Statistical Summary")
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st.write(data.describe())
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