In [2]:

import pandas as pd

Performing Experiments¶

Let's introduce a bigger dataset. This dataset was downloaded from Kaggle and it's called Toy Dataset because it's designed to play around with it, so we are going to use it to do some exercises and practice the new concepts we learn.

In [3]:

toy_dataset = pd.read_csv('toy_dataset.csv')
toy_dataset.head()

Out[3]:

	Number	City	Gender	Age	Income	Illness
0	1	Dallas	Male	41	40367.0	No
1	2	Dallas	Male	54	45084.0	No
2	3	Dallas	Male	42	52483.0	No
3	4	Dallas	Male	40	40941.0	No
4	5	Dallas	Male	46	50289.0	No

Notice that in this dataset we still have a numbered person, their city and their age, but also their gender, their income and whether they have an illness or not.

In [4]:

toy_dataset.shape

Out[4]:

(150000, 6)

We can see as well that this dataset has $150000$ rows (people).

Let's start with a simple random experiment: Picking a person and printing their income.

In [6]:

income = toy_dataset.sample(1)['Income'].values[0]
income

Out[6]:

72414.0

Now, try and explore different possibilities for these kind of experiments: What if you choose more people? What if you print a different characteristic? What if you repeat the experiment until something happens?

In [ ]:

We could also try a deterministic experiment: Printing the age of the first person.

In [10]:

first_age = toy_dataset['Age'].loc[0]
first_age

Out[10]:

Now perform some deterministic experiments yourself!

In [ ]:

GuadapvGuadapv

Playground 1.1: Performing Experiments

Performing Experiments¶