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In [7]:
import pandas as pd
import matplotlib.pyplot as plt

# Load your CSV file
df = pd.read_csv("datasets/data.csv")

# Show the first few rows
print(df.head())

# -----------------------------
# 1. LINE PLOT
# -----------------------------
plt.figure(figsize=(8,5))
plt.plot(df[df.columns[0]], df[df.columns[1]])
plt.xlabel(df.columns[0])
plt.ylabel(df.columns[1])
plt.title("Line Plot")
plt.show()

# -----------------------------
# 2. BAR CHART
# -----------------------------
plt.figure(figsize=(8,5))
plt.bar(df[df.columns[0]], df[df.columns[1]])
plt.xlabel(df.columns[0])
plt.ylabel(df.columns[1])
plt.title("Bar Chart")
plt.show()

# -----------------------------
# 3. HISTOGRAM
# -----------------------------
plt.figure(figsize=(8,5))
plt.hist(df[df.columns[1]], bins=10)
plt.xlabel(df.columns[1])
plt.title("Histogram")
plt.show()

# -----------------------------
# 4. SCATTER PLOT
# -----------------------------
plt.figure(figsize=(8,5))
plt.scatter(df[df.columns[0]], df[df.columns[1]])
plt.xlabel(df.columns[0])
plt.ylabel(df.columns[1])
plt.title("Scatter Plot")
plt.show()
  percentage of alcohol consumption by dzongkhag wise  Unnamed: 1
0                                          Dzongkhag   percentage
1                                           bumthang         21.8
2                                             chukha         30.7
3                                             dagana         31.3
4                                               gasa         23.8
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