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Effects of climate change
This example displays the raw contents of the first row from a CSV dataset on climate change's impact on agriculture. The data, loaded with an ES module import, is parsed and converted to numeric values before being rendered as a JSON-formatted string using `JSON.stringify`. The visualization presents the structured record in a styled `<pre>` element, showing all fields like temperature, precipitation, and crop yield.
AI-generated descriptionThe Breast Cancer Report, loaded and parsed as CSV.
Tasks
- I want to be able to see the distribution of the class of the tumor(Benign or Malignant)
- I want to be able to see the sizes of epithilial cells("Epith_c_size") for all the Class values for Malignant tumors(value in the table: 1)
- I want to see the distribution of Benign tumors(Class = 0) having higher cell division(Mitoses > 1)
- I want to analyze the relationship between Uniform_Cell_Size and uniform_cell_shape for Malignant tumors.
- I want to study the proportion of Bare_Nuclei across various classes of tumors.