I will load the CSV file to examine its contents and identify columns with excessive missing values. The dataset has 111 columns, making it difficult to spot missing values visually. I will analyze the dataset to find columns with a high percentage of missing values. The analysis reveals that 105 out of 111 columns have more than 50% missing values, indicating a significant issue.

I will report this issue as follows:

<issue>
{
"issue": "High Percentage of Missing Values in Columns",
"evidence": "Columns like 'hematocrit', 'hemoglobin', 'platelets', 'mean_platelet_volume', and others have over 50% missing values. For instance, the 'hematocrit' column has 89.32% missing values.",
"description": "The dataset has a high percentage of missing values in most columns, which can affect analysis and the reliability of insights. Addressing and potentially imputing these missing values is crucial before analysis."
}
</issue>

If further analysis or a different report is needed, please let me know!