# Similarity Analysis The similarity analysis shows linear relationships between at least two measurements. For this purpose the correlation coefficients are calculated according to Karl Pearson and displayed in a matrix. The correlation factors have values between -1.0 (direct negative correlation, red) and 1.0 (direct positive correlation, green). The cells are colored with a gradient based on their value. The stronger the correlation deviates from 0 (transparent), the stronger the cell is colored. ![Similarity Analysis](/files/pIra8UiNHAR0aJOBvKKs) The correlation can be calculated for a selected group between selected or all measurements. The selected measurements are plotted as columns. For each existing measurement the factors are then calculated in one row. The selection therefore only affects the columns. The rows are always created over all measurements. #### Export * **Export All Values**: All visible results are written to the selected file in CSV format according to the settings * **Export Selected Values**: Only the selected rows of the result table(!) are written to the selected file in CSV format according to the settings --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.irs.systems/report-analyzer/documentation/manual/similarity-analysis.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.