scat-plot-overall-sales.py

import pandas as pd
import plotly.express as px
import numpy as np

# Load the dataset
file_path = 'C:\\Users\\loydt\\Downloads\\Superstore Sales Dataset.csv'
data = pd.read_csv(file_path)

# Convert 'Order Date' to a datetime format
data['Order Date'] = pd.to_datetime(data['Order Date'], format='%d/%m/%Y',
errors='coerce')

# Create a scatter plot with 'Order Date' on the x-axis and 'Sales' on the y-axis
fig2 = px.scatter(data, x='Order Date', y='Sales', title='Sales Over Time', opacity=0.7)

# Customize the scatter plot's color and marker size
fig2.update_traces(marker_color='orange', marker_size=6)

# Updating the layout to set a darker background and other enhancements
fig2.update_layout(
    xaxis_title='Order Date',
    yaxis_title='Sales',
    title='Sales Over Time',
    xaxis_title_font=dict(size=14),
    yaxis_title_font=dict(size=14),
    title_font=dict(size=18),
    xaxis_showgrid=True,
    yaxis_showgrid=True,
    xaxis_gridcolor='gray',
    yaxis_gridcolor='gray',

    # Set the background color to a darker shade
    paper_bgcolor='rgba(45, 45, 45, 1)',  # Background outside the plot area
    plot_bgcolor='rgba(40, 40, 40, 1)',   # Background inside the plot area

    # Customize font colors to ensure readability on a dark background
    font=dict(color='white')
)

# Show the plot
fig2.show()