Introduction:
Wine growers in New Zealand (NZ) play an important role as a major contributor to the country’s economy. In the research, a comprehensive analysis of data from 2017 to 2022 was conducted. This investigation utilised data science techniques including data visualisation and descriptive statistics. Specifically, the background of wine growers in NZ and data science are explored. Then I displayed the various data in different types of graphs and analysed them quantitatively, such as the change, trend, proportion, etc. Furthermore, descriptive statistics is employed to reflect qualitative characters. Through the application of these analytical methods, the patterns hidden in the data were discovered and understood. These analytical methods are implemented using Python, one of the computer languages known for its efficacy in data science tasks.
Achievements:
A paper "Data Visualization and Description for Wine-growers Data in New Zealand" was finished.
The author Claire successfully presented the work on AI Teen Talk at East Coast Bays Library.
Nice posters and trailers made by Claire
Some photos of the presentation
Media