Skip to content

This is my homework for the course ‘Python Programming’

Notifications You must be signed in to change notification settings

OlgaDumina/Visualisation-in-Python

Folders and files

NameName
Last commit message
Last commit date

Latest commit

78b2f71 · Nov 16, 2024

History

3 Commits
Nov 16, 2024
Nov 16, 2024
Nov 16, 2024

Repository files navigation

Visualisation in Python

The aim of this project is to explore the potential and challenges of data visualisation, especially with tools such as Matplotlib, Seaborn and Plotly. The focus is on creating effective visualisations that take into account both the characteristics of the data and human perception. The work covers all stages of data processing and analysis, starting with pre-processing, and focuses on the creation and evaluation of different types of visualisations in order to provide sound recommendations for the practical application of such methods.

In our study, we use homogenised data obtained from NASA's Goddard Institute for Space Studies (GISS) (https://data.giss.nasa.gov/gistemp/station_data_v4_globe/). We limit our study to the territory of Ukraine.

It is recommended to carefully consider the design of the diagram, regardless of its type. For example, the use of colours should enhance the information and not distract from it, and the amount of data in the diagram should be optimal to facilitate perception. Matplotlib, Seaborn and Plotly offer a wide range of tools to implement these principles, allowing you to tailor your visualisation to specific purposes and ensure effective perception of the information.

About

This is my homework for the course ‘Python Programming’

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages