| Keyword | Definition |
|---|---|
| Analysis | Step 4 of the investigative cycle where you visualise the data to spot any patterns, trends, correlations or outliers |
| Conclusions | Step 5 of the investigative cycle where you are now able to use your data analysis to answer your research question |
| Data | Step 3 of the investigative cycle where you gather the data and cleanse it to remove anything inaccurate |
| Investigative cycle | Four step process that you can use in data science to go from predictions to conclusions |
| Plan | Step 2 of the investigative cycle where you predict an answer to the question and make a plan to collect or access the data |
| Problem | Step 1 of the investigative cycle where you define the problem that needs to be solved and pose questions that can be investigated |
