# Correlations, p-values and features selection

By using correlation matrix, I got some results:

Count_words          -0.098857
Count_numbers        -0.008305
Count_symbols        -0.025853
Count_question       -0.031649
Count_equal           0.224223
Count_characters      0.09


I used this line of code (in case you are familiar with Python): df.drop("Target", axis=1).apply(lambda x: x.corr(df.Target))

If I understand correctly, the above results should suggest that there is not correlation between the variables considered. Since I would like to add the above variables (or some of them) in a model already built with other features (textual), I would like to know if I can include all of them based on the fact that they are not correlated to each other and that the p-value is less than 0.05. My doubt is if the above results do not make sense and do not suggest that these variables can be used in the model. I hope you can give me some advices on that. Thanks