here. is my Revenue_Deficits EDA app

Financial APIs/Revenue_Deficits EDA app/EDA app.py

@@ -0,0 +1,107 @@
+import pandas as pd
+import matplotlib.pyplot as plt
+import gradio as gr
+import os
+import numpy as np
+
+# Define the path to the CSV file
+csv_file_path = 'Revenue_Deficits.csv'
+
+def visualize_eda(start_date, end_date):
+    # Create a directory to save plots
+    if not os.path.exists('eda_plots'):
+        os.makedirs('eda_plots')
+
+    # Initialize output paths
+    line_plot_path = 'eda_plots/line_plot.png'
+    bar_plot_path = 'eda_plots/bar_plot.png'
+    hist_plot_path = 'eda_plots/hist_plot.png'
+    scatter_plot_path = 'eda_plots/scatter_plot.png'
+
+    # Load the data from the CSV file
+    try:
+        df = pd.read_csv(csv_file_path, parse_dates=True, index_col=0)
+    except Exception as e:
+        return [None, None, None, None, f"Error loading CSV file: {e}"]
+
+    # Filter the data by the given date range
+    try:
+        df = df.loc[start_date:end_date]
+    except Exception as e:
+        return [None, None, None, None, f"Error filtering data: {e}"]
+
+    # Check for and handle non-numeric columns
+    df_numeric = df.select_dtypes(include=['float64', 'int64'])
+    if df_numeric.empty:
+        return [None, None, None, None, "Error: No numeric data found in CSV file."]
+
+    # Plot 1: Line plot of all numerical features
+    try:
+        plt.figure(figsize=(12, 6))
+        for column in df_numeric.columns:
+            plt.plot(df_numeric.index, df_numeric[column], label=column)
+        plt.title('Line Plot of Numerical Features')
+        plt.xlabel('Date')
+        plt.ylabel('Value')
+        plt.legend()
+        plt.savefig(line_plot_path)
+        plt.close()
+    except Exception as e:
+        return [None, None, None, None, f"Error generating line plot: {e}"]
+
+    # Plot 2: Bar plot of average values per month
+    try:
+        plt.figure(figsize=(12, 6))
+        monthly_avg = df_numeric.resample('M').mean()
+        monthly_avg.plot(kind='bar', figsize=(15, 7))
+        plt.title('Monthly Average of Numerical Features')
+        plt.xlabel('Month')
+        plt.ylabel('Average Value')
+        plt.savefig(bar_plot_path)
+        plt.close()
+    except Exception as e:
+        return [None, None, None, None, f"Error generating bar plot: {e}"]
+
+    # Plot 3: Histogram of numerical features
+    try:
+        plt.figure(figsize=(12, 6))
+        df_numeric.hist(bins=30, figsize=(15, 7))
+        plt.suptitle('Histogram of Numerical Features')
+        plt.savefig(hist_plot_path)
+        plt.close()
+    except Exception as e:
+        return [None, None, None, None, f"Error generating histogram: {e}"]
+
+    # Plot 4: Scatter plot matrix of numerical features
+    try:
+        from pandas.plotting import scatter_matrix
+        plt.figure(figsize=(12, 12))
+        scatter_matrix(df_numeric, alpha=0.2, figsize=(15, 15), diagonal='kde')
+        plt.suptitle('Scatter Plot Matrix of Numerical Features')
+        plt.savefig(scatter_plot_path)
+        plt.close()
+    except Exception as e:
+        return [None, None, None, None, f"Error generating scatter plot matrix: {e}"]
+
+    # Return paths to generated plots
+    return [line_plot_path, bar_plot_path, hist_plot_path, scatter_plot_path, None]
+
+# Define the Gradio interface
+iface = gr.Interface(
+    fn=visualize_eda,
+    inputs=[
+        gr.Textbox(label="Start Date (YYYY-MM-DD)", value="2002-01-02"),
+        gr.Textbox(label="End Date (YYYY-MM-DD)", value="2022-10-10")
+    ],
+    outputs=[
+        gr.Image(type="filepath", label="Line Plot"),
+        gr.Image(type="filepath", label="Bar Plot"),
+        gr.Image(type="filepath", label="Histogram"),
+        gr.Image(type="filepath", label="Scatter Plot Matrix"),
+        gr.Textbox(label="Error Message", type="text")  # Add a textbox for error messages
+    ],
+    live=False  # This will add an explicit "Submit" button
+)
+
+# Launch the Gradio app
+iface.launch(share=True, inbrowser=True)

Financial APIs/Revenue_Deficits EDA app/Revenue_Deficits.csv

@@ -0,0 +1,32 @@
+State,1980-81,1981-82,1982-83,1983-84,1984-85,1985-86,1986-87,1987-88,1988-89,1989-90,1990-91,1991-92,1992-93,1993-94,1994-95,1995-96,1996-97,1997-98,1998-99,1999-00,2000-01,2001-02,2002-03,2003-04,2004-05,2005-06,2006-07,2007-08,2008-09,2009-10,2010-11,2011-12,2012-13,2013-14,2014-15,2015-16 (RE)
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+Arunachal Pradesh,�,�,�,�,�,�,-39,-50,-93,-31.6,-100.1,-158.2,-163.2,-147.5,-166.6,-246.5,-206.7,-172.3,-177.1,-199,-51.9,-28,-77,-184,8,-182,-695,-743,-980,-600,-1680,-1080,-980,-90,1210,-2330
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+Maharashtra,-121,-147.4,-210.1,-70.8,212,316.7,0.6,-74,240.8,374,54.7,276.1,728.5,121.9,-277.3,609.1,1590.6,2579.9,3925.9,4268.8,7834,8188.6,9371,8310,10033,3842,-810,-14803,-5580,8010,590,2270,-4210,5080,13880,3760
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+Mizoram,�,�,�,�,�,1.5,-22,52,-43,-64,-157.1,-79,-47.2,-83.9,-74.9,-62.3,-46.9,-59.9,-44.1,-59.3,193.4,260.4,109,-83,-107,-66,-252,-131,-340,-260,30,-290,-30,150,950,-1080
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+Rajasthan,-65,-34.3,-54.5,-44.7,75.9,2.2,60,356,218.5,30,-168,-48.5,109.5,300.7,424.8,701.9,866,581.8,2996.3,3639.9,2633.6,3795.7,3934,3424,2143,660,-638,-1653,830,4750,-1050,-3360,-3450,1040,4220,-560
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+Tamil Nadu,-128,-81.7,-101.9,-51.7,-17.2,-188.6,-103,283,274.2,479,553.4,1903.9,1526.2,691.9,415.6,311.3,1103.6,1363.9,3436.6,4400.3,3435.8,2738.9,4851,1565,703,-1951,-2648,-4545,-1450,3530,2730,-1360,-1760,1790,3540,4620
+Telangana,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0,-280,-530
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+Uttarakhand,�,�,�,�,�,�,�,�,�,�,�,�,�,�,�,�,�,�,�,�,-10.6,99.6,457,761,950,74,-896,-637,-240,1170,10,-720,-1790,-1100,-2160,-40
+West Bengal,23,87.8,242.4,206.2,371.9,-82.9,188,115,137.2,477,1018.9,646.1,436.6,984.3,767.1,1250.2,2135.2,2294.1,4856.2,9287.3,7581.3,8856.1,8635,9149,8228,7391,8333,8147,14710,21580,17270,14570,13820,18920,10360,0
+Delhi,�,�,�,�,�,�,�,�,�,�,�,�,�,-59,-549.6,-419.4,-764.2,-1158.7,-820,-751.3,-1747.5,-1209.6,-2068,-2261,-2735,-4328,-4438,-5142,-4590,-6550,-10640,-4430,-4900,-5610,-6100,-8160
+Puducherry,,,,,,,,,,,,,,,,,,,,,,,�,�,�,-7,43,65,110,240,340,450,-90,180,-90,0

Financial APIs/Revenue_Deficits EDA app/readme.md

@@ -0,0 +1,54 @@
+
+
+#  stocks Visualization App
+
+<img width="779" alt="Screenshot 2024-08-09 at 7 30 18 PM" src="https://github.com/user-attachments/assets/eac35eea-22c0-496e-b4e1-9b08ce705d7c">
+
+
+
+This application provides interactive visualizations of numerical data from a CSV file using Gradio. The application allows users to view line plots and bar charts for the specified date range.
+
+## Features
+- **Line Plot**: Displays trends for all numerical features over time.
+- **Bar Plot**: Shows the average values of numerical features per month.
+
+## Requirements
+- Python 3.x
+- `pandas`
+- `matplotlib`
+- `gradio`
+
+You can install the required packages using:
+```bash
+pip install pandas matplotlib gradio
+```
+
+## Usage
+1. **Prepare Your Data**: Ensure your CSV file is in the same directory as this script. The CSV should have a date column as the index and numerical columns for plotting.
+
+2. **Run the App**: Execute the script to launch the Gradio interface:
+    ```bash
+    python your_script_name.py
+    ```
+   Replace `your_script_name.py` with the name of your Python script.
+
+3. **Interact with the App**:
+   - Enter the **Start Date** and **End Date** in the format `YYYY-MM-DD`.
+   - Click **Submit** to generate the plots.
+   - View the generated **Line Plot** and **Bar Plot**.
+
+## Example
+For a CSV file with the following columns: `Date`, `Feature1`, `Feature2`, the app will generate:
+- **Line Plot**: Trends of `Feature1` and `Feature2` over the selected date range.
+- **Bar Plot**: Monthly averages of `Feature1` and `Feature2`.
+
+## Troubleshooting
+- **No Numeric Data Error**: Ensure your CSV contains numeric data and the index column is of date type.
+- **Plot Generation Error**: Check if the date range covers the data present in the CSV file.
+
+## License
+This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
+
+---
+
+Feel free to adjust the content as needed!