DDR Memory Performance Analysis

import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
import numpy as np

np.random.seed(1111)

generations = ['DDR3', 'DDR4', 'DDR5', 'HBM3']
data = []
for gen in generations:
    n = 38
    frequency = np.random.uniform(800, 4000, n)
    bw_coeffs = {'DDR3': 0.012, 'DDR4': 0.018, 'DDR5': 0.028, 'HBM3': 0.045}
    bandwidth = bw_coeffs[gen] * frequency + np.random.normal(0, 3, n)
    for f, b in zip(frequency, bandwidth):
        data.append({'Frequency (MHz)': f, 'Bandwidth (GB/s)': b, 'Generation': gen})

df = pd.DataFrame(data)

sns.set_style("whitegrid", {
    'axes.facecolor': '#ffffff',
    'figure.facecolor': '#ffffff',
    'grid.color': '#eeeeee'
})

palette = ['#C82909', '#F5B027', '#6CF527', '#27D3F5']

g = sns.lmplot(
    data=df,
    x='Frequency (MHz)',
    y='Bandwidth (GB/s)',
    hue='Generation',
    col='Generation',
    col_wrap=2,
    height=3.5,
    aspect=1.2,
    palette=palette,
    scatter_kws={'alpha': 0.75, 's': 52, 'edgecolor': 'white', 'linewidths': 0.6},
    line_kws={'linewidth': 2.5},
    ci=95
)

g.fig.set_facecolor('#ffffff')
for ax in g.axes.flat:
    ax.set_facecolor('#ffffff')
    for spine in ax.spines.values():
        spine.set_color('#dddddd')

g.fig.suptitle('Memory Technology Evolution', fontsize=14, fontweight='bold', color='#1a1a1a', y=1.02)
plt.tight_layout()
plt.show()