Brief Analysis

In this project, I have been tasked with creating a Data Visualization based on a particular aspect of Johannesburg. I have chosen to do, “Where the Joburg Boet picks up Chicks?” The underlying message that I want to find out is where Joburg couples hook up based on their love language? This project is important as Data Visualization is the hottest commodity in the world, it's even said to be more expensive than gold. Any business may obtain insight into their massive volumes of data by using data visualization. Recognizing new patterns and mistakes in the data is beneficial to them. Businesses can pay attention to areas that represent red flags or progress by understanding these patterns. The business advances as a result of this procedure. 
Data visualization teaches you in telling stories by transforming data into a more understandable format and showing patterns and outliers. A good visualization tells a story by reducing noise from data and emphasizing the most important facts. Data Visualization will benefit me in the future as I will be able to showcase data and insights in an easier visual way for people to understand. 

The Design

The main data that have been represented are age, sex (represented by colour), love language, and where they hook up. The data visualization is represented in a line graph as it best shows the link between each category and it's easy for the user to follow. The line graph also creates a very unique pattern based on the data collected from the survey sent out.

The colour of the graph is dark because the data represented needed to stand out to catch the viewer's eye. The graph also stands alone until you click on the side of the graph to reveal the key that has all the toggles and information about the Data Visualization. The buttons are created with an object blur to create depth and perspective and when clicking on one of the toggles this depth and perspective can be seen with the data on the graph as some lines blur and some stay solid but it creates this awesome depth that draws the answer to the front and hides the other answers.

All these design decisions were fundamentally built on creating an easy-to-read and understandable Data Visualization Based on the answers from the survey.