Importance of data

Importance of data

Grade 10

_{By : Rasmi Alkhawaldeh}

Learning outcomes

^{After completing this unit, you will be able to:}

^{• Explain the importance of data}

^{• Create visual representations of data that models a real-world event or process}

^{• Evaluate visual representations of data that models a real-world event or process}

WARMING

When buying a new computer or a phone, how do we select the best option? What factors should we consider?

DATA

Information and facts that are collected by observation

Data Analysis

The process of studying data to find useful information

Correlation

The relationship between different data elements

Data Visualisation

A graphical representation of information and data

Line Plots

A graphical representation of data by connecting all data points with a line

Scatter Plots

A graphical representation of data on a 2D axes

ACTIVITIES

Multiple Choice

Information and facts that are collected by observation

• DATA

• Correlation

• A graphical representation of information and data

• The process of studying data to find useful information

Open Ended

Exit Ticket

What is the differences between the Line plot and Scatter Plot ?

Multiple Choice

A graphical representation of data by connecting all data points with a line

• Line Plots

• Scatter Plots

Create plots in Python

There two types of plots we will learn

1- Line Plot

2- Scatter Plot

Four steps to create plots in Python:

• 1-  import the libraries ( matplotlib , Pandas )

• 2- Store the data you need to plot in a DataFrame

• 3- Create plot

• 4- Show plot

EXAMPLE

Khalid owns an ice cream kiosk at the beach, He wanted to create a line plot to see if there is any relationship between the fruit ice cream sales and the weather temperature, The data he collected is shown in the table below.

STEP 1 _{( IMPORT LIBRARIES )}

import pandas as pd

import matplotlib.pyplot as plt

STEP 2 _{( Store data in a DataFrame )}

sales = pd.DataFrame([[20, 24, 26, 28, 30, 32, 34, 36, 38],  [300,300,320,400,450,470,450,550,630]])

STEP 3 _{(Create the plot using the data in each row)}

plt.plot( sales.loc[0,:], sales.loc[1,:] )

STEP 4 _{(Show the plot)}

plt.show()

The code in Python

( Line Plot )

The output

Line Plot

The code in Python

( Scatter Plot )

The output

Scatter Plot

Multiple Choice

• Line Plot

• Scatter Plot

• None

Multiple Choice

• Line Plot

• Scatter Plot

• None

Multiple Choice

The output of this code is :

• None