Instructions: In the project, you need to prepare an idea and a data set from real world. Convert them to Pandas and apply multiple techniques for data analysis.

Group work:

Both individual and group work are allowed in this project. Each group can include at most 3 students. All the names of group members should be indicated in the project design report.

About the data set:

You could find the data by your self or select from the following resources:

Project Requirements

The project MUST includes the following techniques:

1. Exploratory Data Analysis

• Data Loading

• Data Cleaning

• Data Analysis using Descriptive Statistics

• Select at least one of the following techniques in data manipulating:

• Data Wrangling

• Data Aggregation

• Time Series

2. Data Visualization

• Visualization Design

• At least three different designs are required in your project

• You need to implement your visualization in Python

• Description of Data Visualization Design

• Describe the questions your visualization is designed to answer.

• Describe the visualization you created and how its design evolved. (What

marks and channels are used?)

• Describe how the visualization can be used to answer the questions.

Presentation Requirements

A presentation for each team is required. Please plan your talk accordingly. Slides are required during the presentation with the following contents:

• The description of the project, including the project objectives and the description of the data set - should be with reference to the data

• Description of the exploratory data analysis

• Data visualization, including the plots and the description of the design

• Live demo/ demo snapshots of execution of your program

• Conclusion from your observation

1. Exploratory Data Analysis __________

a. Data Loading _____

b. Data Cleaning _____

c. Data Analysis using descriptive statistics _____

d. Other techniques in data manipulating _____

2. Data Visualization __________

a. Three different design of data visualization in Python_____

b. Description of the design_____

3. Live demo / demo snapshots of execution __________

a. The program can be executed successfully _____

b. Students can answer the questions about the source code  _____

3. Project Presentation __________

a. Presenters are well-prepared_____

b. Slides should present material in an informative manner _____

c. Presentation is logically organized and presenters appear to be fluid   _____

d. There is a balance between high-level motivational material & technical detai _____

e. Presenters should respond well to questions and critique