How do I summarise findings from mixed data types?

To summarise findings from mixed data types, identify key patterns, trends, and insights from both qualitative and quantitative data.

When dealing with mixed data types, start by examining the quantitative data, which includes numbers and statistics. Look for patterns, such as increases or decreases over time, and compare different groups or locations. For example, if you are studying climate change, you might analyse temperature records, rainfall data, and CO2 levels. These numbers can show clear trends, like rising temperatures or changing precipitation patterns.

Next, turn to the qualitative data, which includes words, images, and observations. This type of data can provide context and deeper understanding of the quantitative findings. For instance, interviews with local residents about their experiences with extreme weather events can reveal how these changes are affecting daily life. Photographs and videos can also illustrate the impact of environmental changes on landscapes and communities.

Combining these data types allows for a more comprehensive analysis. Quantitative data provides the hard evidence needed to identify trends, while qualitative data adds depth and context, helping to explain why these trends are occurring and what their implications might be. For example, while temperature records might show a clear warming trend, interviews and observations can explain how this warming is affecting agriculture, wildlife, and human health.

In summary, to effectively summarise findings from mixed data types, integrate the numerical evidence with the rich, descriptive insights from qualitative data. This approach not only highlights the key trends and patterns but also provides a fuller picture of the underlying causes and real-world impacts.