Data Quality Assessment Using Benford's Law and Excel

In the computer era, data is growing exponentially. So, the data quality and anomaly has become a major concern. It is very important and necessary to keep the scientific data free from fraud. Application of Benford's law (BL) has become very effective method for detection of fake data and also checks the data irregularities in various fields. This paper will elaborately discuss the four statistical tests called as goodness-of-fit tests applied to the four data sets with different sample sizes. The data sets comprise the land acquired by the government to broaden the roads/lanes and published in the National leading newspaper. The graphical approach of conformance to Benford's law might be very clear and evident, however four fit index methods, namely Chi-square
$(\chi^{2})\text{Calc}$
goodness of fit-values, MAD test and RMSE test are used to prove the conformity between the data and BL.The results of all the tests indicate no irregularities in the published data and shows the conformity of the data with the BL.