Question: Convert the following Python code to R and display the results Python code # Since the user requested to redesign a graph using R and

Convert the following Python code to R and display the results
Python code
# Since the user requested to redesign a graph using R and critique it, I'll generate a suitable Python code that simulates how a ggplot code would work in R.
# However, for now, I'll proceed with Python code to critique and redesign the graph to best illustrate the analysis.
import matplotlib.pyplot as plt
import numpy as np
# Sample word usage data for both Democratic and Republican National Conventions, assuming from the article
words =["freedom", "justice", "economy", "healthcare", "democracy", "jobs", "opportunity", "leadership"]
democratic_freq =[120,98,85,140,110,90,125,115]
republican_freq =[110,95,80,135,105,85,115,110]
# Set up the figure and axes
fig, ax = plt.subplots(figsize=(10,6))
# Set positions and width for bars
bar_width =0.35
index = np.arange(len(words))
# Bar plot for Democratic and Republican conventions
bars1= ax.bar(index, democratic_freq, bar_width, label='Democratic', color='blue')
bars2= ax.bar(index + bar_width, republican_freq, bar_width, label='Republican', color='red')
# Adding labels and title
ax.set_xlabel('Words Used')
ax.set_ylabel('Frequency of Usage')
ax.set_title('Words Used at Democratic and Republican National Conventions')
ax.set_xticks(index + bar_width /2)
ax.set_xticklabels(words)
ax.legend()
# Adding a grid and adjusting layout
ax.grid(True, axis='y', linestyle='--', alpha=0.7)
plt.tight_layout()
# Display the plot
plt.show()

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