# Data Explorer The last section of **Clima** allows for a deeper analysis of all the data in the [Clima dataframe](/clima/documentation/tabs-explained/tab-summary/clima-dataframe.md). The tab is divided into three sections: * Single-variable analysis * Single-variable + filter analysis * Triple-variable + filter analysis The single-variable analysis allows data to be displayed in 4 outputs: a yearly chart, monthly daily charts, an annual heatmap chart, and a descriptive statistics table. The single-variable + filter analysis allows data to be displayed in a customizable heatmap. The chart can be created starting from one variable inside the Clima dataframe and, eventually, filtered by another one. The triple-variable + filter analysis allows data to be displayed in two composite charts, a scatterplot, and a heat map. The baselines of the two graphs are driven by the choice of one variable to be placed on the x-axis and one on the y-axis. Then, data can be colored according to a third variable and filtered according to a fourth. ### Video Tutorial Learn more about the Data Explorer tab by watching the following video. {% embed url="" %} --- # 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://cbe-berkeley.gitbook.io/clima/documentation/tabs-explained/data-explorer.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.