Interpreting confidence interval results for datasets
No, that isn't what it means.
For one thing it is not clear what parameter the confidence interval that you calculated is for.
In any case, some care is needed in the interpretation of (frequentist) confidence intervals.
In frequentist statistics, a confidence interval is random, and the parameter that the interval is for is fixed. In the case of a 99% interval this means that if the data were collected again, many times, and the confidence interval re-calculated each time, then 99 times out of 100 it would contain the true value of the parameter. This is the only technically correct interpretation of the frequentist confidence interval. It is often interpreted, incorrectly, as being an interval that contains the parameter with 99% probability, and that appears to be the interpretation that you are using.