This paper presents a basic analysis of the data from a Chinese restaurant using data mining techniques. The main purpose was, to investigate and analyze any business pattern of the restaurant and where possible represent them using existing data models in Weka software. The algorithms J48, Naïve Bayes classifier, and Jrip decision rule were used to perform the analysis. The 10-fold cross validation model was used to evaluate the performance of the algorithms which were applied to the data. The paper covers: data acquiring, data preprocessing and data analyzing.