during the data visualization and presentation step on a project, a data science team uses software to help visualize and conclude final insights from the data. the goal is to have a visualization that’s effective, attractive, and ____________.
LectureNotes said during the data visualization and presentation step on a project, a data science team uses software to help visualize and conclude final insights from the data. The goal is to have a visualization that’s effective, attractive, and ____________.
Answer:
The key objective of data visualization in data science is to not only present the data in a visually appealing and effective manner but also to ensure that it is comprehensible. Ensuring comprehensibility means that the visualization should be easy to understand and interpret by the intended audience. Detailed and well-designed visualizations contribute to a clearer presentation of insights, facilitating better decision-making.
1. Effective
- Clarity: The visualization must be clear and convey the intended message without confusion.
- Relevance: Data must be relevant and highlight the key points necessary for drawing conclusions.
2. Attractive
- Aesthetics: Use of color, design, and layout should make the visualization pleasing to look at, encouraging viewer engagement.
- Professionalism: The visual elements should look polished and professional, lending credibility to the data.
3. Comprehensible
- Simplicity: Avoid overcrowding the visualization with too much information or overly complex designs which can confuse the reader.
- Labels and Legends: Proper labeling of axes, legends for charts, and explanatory text can guide the viewer through the data.
- Intuitiveness: The design should guide the user intuitively through the data, allowing them to grasp the insights quickly.
Final Answer:
The goal is to have a visualization that’s effective, attractive, and comprehensible.