'''
Types of plots

In this exercise we will explore Matplotlib and the types of plots that can be 
produced. Chosing the correct plot to represent your data is an important skill, 
and knowing the available plot types helps to make a good decision. The plot 
types we will discuss are: scatterplot, histogram, bar plot, boxplots, and 
adding errorbars.
'''

'''
Exercise A: Scatterplot

Make a scatterplot of the first 10 Fibonacci numbers.
Why is a scatterplot an appropriate plot to visualise these?
'''

# Your code here


'''
Exercise B: Histogram and Bar plot

A research group takes a questionnaire. The scientists are interested in the 
age distribution of the correspondents. The ages are 
[14, 14, 15, 16, 17, 19, 19, 20, 22, 22, 25, 26, 27, 27, 27, 30, 33, 33, 34, 34, 
34, 35, 36, 37, 37, 39, 42, 42, 43, 44, 45, 45, 45, 47, 49, 50, 50, 51, 52, 53, 
55, 56, 56, 56, 56, 57, 58, 85, 60, 63, 64, 66, 66, 69, 70, 73, 74, 76]

Part I. Make a histogram of the age distributions, with one bin each for ages 10 - 19, 
20 - 29, etc. until 70 - 79. Which age group was most represented in this research?

Part II. For this data, also create a barplot. Note that for a barplot, you need 
to give the heights of the bars yourself! If you want an extra challenge, write a 
function that counts the number of participants in their respective age groups for 
you. Else, use your histogram or count by hand. 
'''

# Your code here


'''
Exercise C: Boxplot

Part I. In Python, we can generate a random integer between 10 and 79 using the
command `np.random.randint(10, 80)`.
Using a `for` loop, create a dataset of 50 participants with random ages between 
10 and 80. Make a boxplot of this distribution.

Part II. Now, repeat this process to create 4 datasets of randomly distributed 
ages, and plot them as boxplots in the same plot. 
Compare the results - are they as expected given that we used a random generating 
process? Increase the number of participants to 2,000. Are these results more 
or less like what you expected? What does this tell you about the reliability 
between participant number in a study, and reliability of the study results?
'''

# Your code here

'''
Exercise D: Lineplot with errorbars

A researcher measures the deviation of the temperature from room temperature of
a reaction over time. They measure every second, starting at 0 and ending at 20. 
Their results are (in K):

[304.1, 306.6, 308.7, 310.7, 313.2, 316.8,  320.4, 323.8, 326.3, 329.3, 331.1, 
332.1, 333.3, 332.1, 331.1, 329.3, 326.3, 323.8, 320.4, 316.8, 313.2]

The machine used for measurements has an error of 5 %. Create a plot of the 
measured data and add errorbars to the measurement points. 
'''

# Your code here