How to use ChatGPT for Planning Analyst Job Role

python

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from statsmodels.tsa.arima.model import ARIMA
from statsmodels.graphics.tsaplots import plot_acf, plot_pacf

# Load your dataset
df = pd.read_csv('your_dataset.csv')

df['date'] = pd.to_datetime(df['date_column'])  # Replace 'date_column' with your date column name

df.set_index('date', inplace=True)

# Visualize the data
plt.figure(figsize=(12, 6))
plt.plot(df)
plt.title('Time Series Data')
plt.xlabel('Date')
plt.ylabel('Values')
plt.show()

# Determine the order of ARIMA model
autocorrelation = plot_acf(df)
partial_autocorrelation = plot_pacf(df)
plt.show()

# Fit the ARIMA model (p, d, q) - replace with your chosen values
model = ARIMA(df, order=(p, d, q))  # Replace p, d, q with appropriate values
model_fit = model.fit()

# Forecasting
forecast = model_fit.forecast(steps=10)  # Forecasting the next 10 periods
print(forecast)