Answer:
Explanation:
The python code to generate this is quite simple to run.
i hope you understand everything written here, you can as well try out other problems to understand better.
First to begin, we import the package;
Code:
import pandas as pd
import matplotlib.pyplot as plt
name = input('Enter name of the file: ')
op = input('Enter name of output file: ')
df = pd.read_csv(name)
df['Date'] = pd.to_datetime(df["Date"].apply(str))
plt.plot(df['Date'],df['Absent']/(df['Present']+df['Absent']+df['Released']),label="% Absent")
plt.legend(loc="upper right")
plt.xticks(rotation=20)
plt.savefig(op)
plt.show()
This should generate the data(plot) as seen in the uploaded screenshot.
thanks i hope this helps!!!
Answer:
Prevent rust in the cooling system, prevent a clogged heater core, and to prevent the water pump from seizing.
Explanation:
Answer:

Explanation:

So, heat rate can be calculated as follows:

Surface temperatures can be calculated as follows:

Answer:

Explanation:
Given that
Calorific value (CV) = 44 MJ/Kg
CV= 44,000 KJ/kg
Brake thermal efficiency(η) = 37.9 %
We know that

Where BP is the brake power



Brake specific fuel consumption (s)



