Create a decision tree model using 70% of the dataset as training dataset. Apply the model to the rest 30% of the dataset. Use seed value of 1234 when randomly selecting the training data and validation data so that we all get the same results.

Show R code for this dataset followed by the confusion matrix enlisting the actual and predicted class obtained by running the model on the validation dataset.

Data found here - Adult dataset available in adult.data file at: https://archive.ics.uci.edu/ml/machine-learning-databases/adult/