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Meyd559enjavhdtoday09052021015801 Min Full -

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Below are tiny snippets you can copy‑paste to get a feel for the data. Adjust column names and delimiters as needed. Why avoid pirate sites like the one implied

import pandas as pd
import matplotlib.pyplot as plt
# -------------------------------------------------
# 1️⃣ Load the file (replace delimiter & column list)
# -------------------------------------------------
df = pd.read_csv('meyd559enjavhdtoday09052021015801_min_full.csv',
                 delimiter=',',            # change if needed
                 parse_dates=['timestamp'])  # column name for time
# -------------------------------------------------
# 2️⃣ Basic stats
# -------------------------------------------------
print(df.describe())
# -------------------------------------------------
# 3️⃣ Plot a time‑series (example: temperature)
# -------------------------------------------------
plt.figure(figsize=(12,4))
plt.plot(df['timestamp'], df['temperature'], label='Temp (°C)')
plt.xlabel('Time')
plt.ylabel('Temperature (°C)')
plt.title('Minute‑Resolution Temperature')
plt.legend()
plt.tight_layout()
plt.show()