Based on the inspection of the provided datasets, here are the identified issues related to missing data in specific columns:

1. **Missing data in "Negative" column of "StatewiseTestingDetails.csv"**

- **Issue**: Missing values in "Negative" column
- **Evidence**: "Negative        3772". This means there are 3,772 missing entries for the "Negative" column in the "StatewiseTestingDetails.csv" file.
- **Description**: The "Negative" column, which likely represents the number of negative test results for COVID-19 in various states, is missing a significant amount of data. This lack of information could affect any analysis or insights to be drawn regarding the negative test outcome trends over time or across locations.

2. **Missing data in "Positive" column of "StatewiseTestingDetails.csv"**

- **Issue**: Missing values in "Positive" column
- **Evidence**: "Positive        3200". This indicates that there are 3,200 missing entries for the "Positive" column in the "StatewiseTestingDetails.csv" file.
- **Description**: The "Positive" column, intended to account for the number of positive COVID-19 cases detected from the tests, has numerous entries missing. This gap significantly impacts the data's completeness, obstructing accurate assessments of COVID-19's spread and the effectiveness of testing efforts across different states.

It's noted that there was a misnaming in relating the dataset "covid_19_india.csv" to "StatewiseTestingDetails.csv" in my analysis calls, which may confuse the context to data files. The actual file referred to for missing "Negative" and "Positive" data is the "covid_19_india.csv" file, which is our dataset of concern for this analysis.