input: 
  def perform_data_analysis_and_plotting(logfile: str, calib_folder: str) -> None:
      """ This function performs a series of calculations and generates plots based on input data. 
      Before running this function, ensure that 'eval_spectrum.py' and 'calibration.py' are executed 
      with appropriate measurements. The function imports necessary modules and functions from external
      sources. It loads the input data, performs calibration, calculates various values, and generates 
      plots showing absorbed power vs emitted power, absorbed power vs reflectivity, and dissipated power
      vs wavelength. The function also calculates thermal resistance and displays it on the plots.
      
      >>> perform_data_analysis_and_plotting('../24_LL_ev/20150211_sample21-1-d6/spot333um.csv', '../24_LL_ev/20150204_calib_333um_s21-1-d6')
      # The function generates plots and prints thermal impedance.
      """
  
output:     
      import pandas as pd
      import numpy as np
      import matplotlib.pyplot as plt
      from eval_spectrum import load_spectrum_data
      from calibration import calibrate_data
  
      # Load the logfile data
      data = pd.read_csv(logfile)
  
      # Load the calibration data
      calib_data = pd.read_csv(calib_folder + '/calibration_data.csv')
  
      # Perform calibration
      calibrated_data = calibrate_data(data, calib_data)
  
      # Calculate absorbed power
      absorbed_power = calibrated_data['emitted_power'] - calibrated_data['reflected_power']
  
      # Calculate dissipated power
      dissipated_power = calibrated_data['emitted_power'] - absorbed_power
  
      # Calculate thermal resistance
      thermal_resistance = np.mean(dissipated_power) / np.mean(absorbed_power)
  
      # Plot absorbed power vs emitted power
      plt.figure(figsize=(10, 6))
      plt.plot(calibrated_data['emitted_power'], absorbed_power, label='Absorbed Power')
      plt.xlabel('Emitted Power')
      plt.ylabel('Absorbed Power')
      plt.title('Absorbed Power vs Emitted Power')
      plt.legend()
      plt.grid(True)
      plt.show()
  
      # Plot absorbed power vs reflectivity
      plt.figure(figsize=(10, 6))
      plt.plot(calibrated_data['reflected_power'], absorbed_power, label='Absorbed Power')
      plt.xlabel('Reflectivity')
      plt.ylabel('Absorbed Power')
      plt.title('Absorbed Power vs Reflectivity')
      plt.legend()
      plt.grid(True)
      plt.show()
  
      # Plot dissipated power vs wavelength
      plt.figure(figsize=(10, 6))
      plt.plot(calibrated_data['wavelength'], dissipated_power, label='Dissipated Power')
      plt.xlabel('Wavelength')
      plt.ylabel('Dissipated Power')
      plt.title('Dissipated Power vs Wavelength')
      plt.legend()
      plt.grid(True)
      plt.show()
  
      # Print thermal resistance
      print(f'Thermal Resistance: {thermal_resistance}')
  