Fundementals of Data Science

Question 1

A Data Scientist must find patterns within the data. Before he/she can find the patterns, he/she must organize the data in a standard format. What are the eight steps?

Answer 1

1. Ask the right questions
2. Explore and collect data
3. Extract the data
4. Clean the data
5. Find and replace the missing values
6. Normalize data
7. Analyze data, find patterns and make future predictions
8. Present the result

Question 2

What is a data frame?

Answer 2

A structured representation of data.

Question 3

What is a variable?

Answer 3

Something that can be measured or counted.

Question 4

How do you create a data frame with pandas?

Answer 4

import pandas as pd

d = {‘col1’: [1, 2, 3, 4, 7], ‘col2’: [4, 5, 6, 9, 5], ‘col3’: [7, 8, 12, 1, 11]}

df = pd.DataFrame(data=d)

print(df)

Question 5

What do I put into pandas to find the number of columns?

Answer 5

df.shape[1]

import pandas as pd

d = {‘col1’: [1, 2, 3, 4, 7], ‘col2’: [4, 5, 6, 9, 5], ‘col3’: [7, 8, 12, 1, 11]}

df = pd.DataFrame(data=d)
count_column = df.shape[1]

print(“Number of columns:”)
print(count_column)

Question 6

What do I put into pandas to find the number of rows?

Answer 6

df.shape[0]

import pandas as pd

d = {‘col1’: [1, 2, 3, 4, 7], ‘col2’: [4, 5, 6, 9, 5], ‘col3’: [7, 8, 12, 1, 11]}

df = pd.DataFrame(data=d)
count_row = df.shape[0]

print(“Number of rows:”)
print(count_row)

Question 7

What python function finds the highest value in an array?

Answer 7

max()

Average_pulse_max = max(80, 85, 90, 95, 100, 105, 110, 115, 120, 125)

print (Average_pulse_max)

Question 8

What python function finds the lowest value in an array?

Answer 8

min()

Average_pulse_min = min(80, 85, 90, 95, 100, 105, 110, 115, 120, 125)

print(Average_pulse_min)

Question 9

What NumPy function is used to find the average value of an array

Answer 9

mean()

import numpy as np

Calorie_burnage = [240, 250, 260, 270, 280, 290, 300, 310, 320, 330]

Average_calorie_burnage = np.mean(Calorie_burnage)

print(Average_calorie_burnage)

Question 10

What needs to happen before the data can be analyzed?

Answer 10

It must be imported/extracted.

Question 11

How do you import data using Pandas in Python?

Answer 11

read_csv()

import pandas as pd

health_data = pd.read_csv(“data.csv”, header=0, sep=”,”)

print(health_data)