Comparing GDP Values of BRICS Nations Using Quandl

Comparing GDP Values of BRICS Nations Using Quandl.py

# Import necessary libraries
import quandl
import matplotlib.pyplot as plt

# Set your Quandl API key (you need to sign up on Quandl's website to get your API key)
quandl.ApiConfig.api_key = 'YOUR_API_KEY'

# Define the dataset codes for the BRICS nations' GDP
brics_gdp_datasets = {
    'Brazil': 'ODA/BRA_NGDPD',
    'Russia': 'ODA/RUS_NGDPD',
    'India': 'ODA/IND_NGDPD',
    'China': 'ODA/CHN_NGDPD',
    'South Africa': 'ODA/ZAF_NGDPD'
}

# Define the date range for the past 15 years
end_date = '2023-08-31'  # Replace with the desired end date

# Initialize an empty dictionary to store GDP data for each BRICS nation
gdp_data = {}

# Fetch GDP data for each BRICS nation and store it in the 'gdp_data' dictionary
for country, dataset_code in brics_gdp_datasets.items():
    data = quandl.get(dataset_code, end_date=end_date)
    gdp_data[country] = data

# Plot the GDP data for BRICS nations
plt.figure(figsize=(12, 6))
for country, gdp in gdp_data.items():
    plt.plot(gdp.index, gdp['Value'], label=country)

# Customize the plot
plt.title('GDP Comparison of BRICS Nations (Last 15 Years)')
plt.xlabel('Year')
plt.ylabel('GDP (Current US$)')
plt.legend()
plt.grid(True)

# Show the plot
plt.show()