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PolyU Library

Hotel, Tourism, and Events Management

Your starting point for research and study in the area of hotel and tourism management.

Data Tools available for your research & assignment

You can make use of the data analyzing, visualization, and cleaning tools below for research and assignment purposes.

Data Analyzing Tools

IBM SPSS Software
A commonly used tool in academic for advanced statistical analysis.

One of the most used qualitative and mixed methods data analysis software tool by academics and professional researchers globally.

An innovative analytics, BI and data management software which helps to turn your data into better decisions.

Research Data Tools

Collecting, managing and analyzing data are necessary for many assignments. In this section, we would like to introduce helpful tools for data collection, cleaning, visualization, and analysis.

Data Collection

Google Forms
Here's a free tool for online surveys in the event you are using this method to collect responses and data for your assignment.

Data Cleaning

A powerful tool for messy data cleaning and data transformation, which helps you to convert data format or data structure in order to facilitate further data analysis.

Data Visualization

Tableau Public
A free software that allows you to create interactive data visualization without programming knowledge.

Scimago Graphica
A free data visualization tool that provides an easy way to explore, communicate, and make sense of data without using any coding. 

The Data Visualisation Catalogue
A handy guide and library of different data visualization techniques, tools, and resources to learn how to use different forms of data visualization.

Data Analysis

Voyant Tools
An open-source online tool allows you to "see through your text" by conducting different types of analysis on a body of text.

A multipurpose language that has been widely used in data processing and analysis by data scientists.

An integrated development environment (IDE) for R programming language which can help us to conduct statistical analysis and data visualization.