Python Data Analysis

Introduction

Imagine a scenario in the enchanting Ice and Snow Kingdom, where an aspiring ice sculptor, Elsa, is seeking to create the most magnificent ice sculptures. Her success relies on the precise analysis of various forms, textures, and structures of ice.

In this lab, you will step into the role of a data analyst working with Elsa to analyze and visualize data related to different types of ice structures, which will ultimately aid her in creating stunning sculptures.

Skills Graph

Data Collection and Preparation

In this step, you will start by collecting data about different forms and textures of ice. Then you will prepare the data for analysis.

Open a Python script named data_preparation.py in the ~/project directory and add the following code to read and prepare the data:

## data_preparation.py
import pandas as pd

## Read the CSV file
ice_data = pd.read_csv('/home/labex/project/ice_data.csv')

## Display the data
print(ice_data)

Run the script:

python data_preparation.py

The information below should be displayed on your terminal:

      Type Texture  Temperature
0   Frosty   Rough            5
1    Clear  Smooth          -10
2  Crystal   Shiny           -3

Data Analysis and Visualization

In this step, you will perform data analysis and create visualizations based on the prepared data.

1. Open a new Python script named visualization.py in the ~/project directory and add the following code to analyze and visualize the ice data:

import pandas as pd
import matplotlib.pyplot as plt

## Read the CSV file into a DataFrame
ice_data = pd.read_csv('/home/labex/project/ice_data.csv')

## Visualize the temperature distribution
plt.hist(ice_data['Temperature'], bins=3, color='skyblue', edgecolor='black')
plt.title('Ice Temperature Distribution')
plt.xlabel('Temperature')
plt.ylabel('Frequency')
plt.show()
plt.savefig('/home/labex/project/temperature_distribution.png')

2. Execute the visualization.py script using the following command:

python ~/project/visualization.py

After running the script, you will see an image named temperature_distribution.png. You can click on the image to see the visual diagram.

Summary

In this lab, you have employed Python for data analysis and visualization to support Elsa in her quest for creating breathtaking ice sculptures. You collected, prepared, analyzed, and visualized data related to different types of ice structures. This equipped you with the skills to effectively analyze and present data, laying a strong foundation for further exploration in the realm of data analysis using Python.