1. The Importance of Data Visualization and Data Exploration

Activity 1.01: Using NumPy to Compute the Mean, Median, Variance, and Standard Deviation of a Dataset

Solution:

1. Import NumPy:

   import numpy as np

2. Load the normal_distribution.csv dataset by using the genfromtxt method from NumPy:

   dataset = np.genfromtxt('../../Datasets/normal_distribution.csv', \
                           delimiter=',')

3. First, print a subset of the first two rows of the dataset:

   dataset[0:2]

   The output of the preceding code is as follows:

   Figure 1.57: First two rows of the dataset

4. Load the dataset and calculate the mean of the third row. Access the third row by using index 2, dataset[2]:

   np.mean(dataset[2])

   The output of the preceding code is as follows:

   100.20466135250001

5. Index the last element of an ndarray in the same way a regular Python list can be...