Data analysis examines, transforms, and interprets data to produce findings or insights. It serves as the middle phase between exploring data and presenting its meaning to an audience. section 1.1
A practical analysis workflow connects three stages:
- Explore data to understand what it contains. section 1.1
- Analyze data to identify findings and insights. section 1.1
- Present results with the audience’s needs in view, rather than relying on charts alone. section 1.1
Figure 1.1 The data science flow from the data scientist’s perspective (on the left) and the audience’s perspective (on the right)
Follow the contrasting analyst and audience perspectives across exploration, analysis, and presentation. section 1.1
