add

README.md

@@ -1,12 +1,53 @@
----
-title: Dashboard
-emoji: 🔥
-colorFrom: purple
-colorTo: green
-sdk: streamlit
-sdk_version: 1.36.0
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+
+# Interactive Dashboard with Python – Streamlit
+
+Sales Dashboard built-in Python and the Streamlit library to visualize Excel data.
+
+## Video Tutorial
+[![YouTube Video](https://img.youtube.com/vi/Sb0A9i6d320/0.jpg)](https://youtu.be/Sb0A9i6d320)
+
+## Run the app
+```Powershell
+# vanilla terminal
+streamlit run app.py
+
+# quit
+ctrl-c
+```
+
+## Demo
+Sales Dashboard: https://www.salesdashboard.pythonandvba.com/
+
+## Screenshot
+![Dashboard Screenshot](./Dashboard_Sample.png)
+
+
+
+## 🤓 Check Out My Excel Add-ins
+I've developed some handy Excel add-ins that you might find useful:
+
+- 📊 **[Dashboard Add-in](https://pythonandvba.com/grafly)**: Easily create interactive and visually appealing dashboards.
+- 🎨 **[Cartoon Charts Add-In](https://pythonandvba.com/cuteplots)**: Create engaging and fun cartoon-style charts.
+- 🤪 **[Emoji Add-in](https://pythonandvba.com/emojify)**: Add a touch of fun to your spreadsheets with emojis.
+- 🛠️ **[MyToolBelt Add-in](https://pythonandvba.com/mytoolbelt)**: A versatile toolbelt for Excel, featuring:
+  - Creation of Pandas DataFrames and Jupyter Notebooks from Excel ranges
+  - ChatGPT integration for advanced data analysis
+  - And much more!
+
+
+
+## 🤝 Connect with Me
+- 📺 **YouTube:** [CodingIsFun](https://youtube.com/c/CodingIsFun)
+- 🌐 **Website:** [PythonAndVBA](https://pythonandvba.com)
+- 💬 **Discord:** [Join our Community](https://pythonandvba.com/discord)
+- 💼 **LinkedIn:** [Sven Bosau](https://www.linkedin.com/in/sven-bosau/)
+- 📸 **Instagram:** [Follow me](https://www.instagram.com/sven_bosau/)
+
+## ☕️ Support My Work
+Love my content and want to show appreciation? Why not [buy me a coffee](https://pythonandvba.com/coffee-donation) to fuel my creative engine? Your support means the world to me! 😊
+
+[![ko-fi](https://ko-fi.com/img/githubbutton_sm.svg)](https://pythonandvba.com/coffee-donation)
+
+## 💌 Feedback
+Got some thoughts or suggestions? Don't hesitate to reach out to me at contact@pythonandvba.com. I'd love to hear from you! 💡
+![Logo](https://www.pythonandvba.com/banner-img)

app.py

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+# @Email:  contact@pythonandvba.com
+# @Website:  https://pythonandvba.com
+# @YouTube:  https://youtube.com/c/CodingIsFun
+# @Project:  Sales Dashboard w/ Streamlit
+
+
+
+import pandas as pd  # pip install pandas openpyxl
+import plotly.express as px  # pip install plotly-express
+import streamlit as st  # pip install streamlit
+
+# emojis: https://www.webfx.com/tools/emoji-cheat-sheet/
+st.set_page_config(page_title="Sales Dashboard", page_icon=":bar_chart:", layout="wide")
+
+# ---- READ EXCEL ----
+@st.cache_data
+def get_data_from_excel():
+    df = pd.read_excel(
+        io="supermarkt_sales.xlsx",
+        engine="openpyxl",
+        sheet_name="Sales",
+        skiprows=3,
+        usecols="B:R",
+        nrows=1000,
+    )
+    # Add 'hour' column to dataframe
+    df["hour"] = pd.to_datetime(df["Time"], format="%H:%M:%S").dt.hour
+    return df
+
+df = get_data_from_excel()
+
+# ---- SIDEBAR ----
+st.sidebar.header("Please Filter Here:")
+city = st.sidebar.multiselect(
+    "Select the City:",
+    options=df["City"].unique(),
+    default=df["City"].unique()
+)
+
+customer_type = st.sidebar.multiselect(
+    "Select the Customer Type:",
+    options=df["Customer_type"].unique(),
+    default=df["Customer_type"].unique(),
+)
+
+gender = st.sidebar.multiselect(
+    "Select the Gender:",
+    options=df["Gender"].unique(),
+    default=df["Gender"].unique()
+)
+
+df_selection = df.query(
+    "City == @city & Customer_type ==@customer_type & Gender == @gender"
+)
+
+# Check if the dataframe is empty:
+if df_selection.empty:
+    st.warning("No data available based on the current filter settings!")
+    st.stop() # This will halt the app from further execution.
+
+# ---- MAINPAGE ----
+st.title(":bar_chart: Sales Dashboard")
+st.markdown("##")
+
+# TOP KPI's
+total_sales = int(df_selection["Total"].sum())
+average_rating = round(df_selection["Rating"].mean(), 1)
+star_rating = ":star:" * int(round(average_rating, 0))
+average_sale_by_transaction = round(df_selection["Total"].mean(), 2)
+
+left_column, middle_column, right_column = st.columns(3)
+with left_column:
+    st.subheader("Total Sales:")
+    st.subheader(f"US $ {total_sales:,}")
+with middle_column:
+    st.subheader("Average Rating:")
+    st.subheader(f"{average_rating} {star_rating}")
+with right_column:
+    st.subheader("Average Sales Per Transaction:")
+    st.subheader(f"US $ {average_sale_by_transaction}")
+
+st.markdown("""---""")
+
+# SALES BY PRODUCT LINE [BAR CHART]
+sales_by_product_line = df_selection.groupby(by=["Product line"])[["Total"]].sum().sort_values(by="Total")
+fig_product_sales = px.bar(
+    sales_by_product_line,
+    x="Total",
+    y=sales_by_product_line.index,
+    orientation="h",
+    title="<b>Sales by Product Line</b>",
+    color_discrete_sequence=["#0083B8"] * len(sales_by_product_line),
+    template="plotly_white",
+)
+fig_product_sales.update_layout(
+    plot_bgcolor="rgba(0,0,0,0)",
+    xaxis=(dict(showgrid=False))
+)
+
+# SALES BY HOUR [BAR CHART]
+sales_by_hour = df_selection.groupby(by=["hour"])[["Total"]].sum()
+fig_hourly_sales = px.bar(
+    sales_by_hour,
+    x=sales_by_hour.index,
+    y="Total",
+    title="<b>Sales by hour</b>",
+    color_discrete_sequence=["#0083B8"] * len(sales_by_hour),
+    template="plotly_white",
+)
+fig_hourly_sales.update_layout(
+    xaxis=dict(tickmode="linear"),
+    plot_bgcolor="rgba(0,0,0,0)",
+    yaxis=(dict(showgrid=False)),
+)
+
+
+left_column, right_column = st.columns(2)
+left_column.plotly_chart(fig_hourly_sales, use_container_width=True)
+right_column.plotly_chart(fig_product_sales, use_container_width=True)
+
+
+# ---- HIDE STREAMLIT STYLE ----
+hide_st_style = """
+            <style>
+            #MainMenu {visibility: hidden;}
+            footer {visibility: hidden;}
+            header {visibility: hidden;}
+            </style>
+            """
+st.markdown(hide_st_style, unsafe_allow_html=True)

requirements.txt

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+openpyxl
+pandas==2.0.1
+plotly==5.13.1
+streamlit==1.25.0