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  "Description": "It generates summary statistics on the input dataset using\ndifferent descriptive univariate statistical measures on entire\ndata or at a group level. Though there are other packages which\ndoes similar job but each of these are deficient in one form or\nother, in the measures generated, in treating numeric,\ncharacter and date variables alike, no functionality to view\nthese measures on a group level or the way the output is\nrepresented. Given the foremost role of the descriptive\nstatistics in any of the exploratory data analysis or solution\ndevelopment, there is a need for a more constructive,\nstructured and refined version over these packages. This is the\nidea behind the package and it brings together all the required\ndescriptive measures to give an initial understanding of the\ndata quality, distribution in a faster,easier and elaborative\nway.The function brings an additional capability to be able to\ngenerate these statistical measures on the entire dataset or at\na group level. It calculates measures of central tendency\n(mean, median), distribution (count, proportion), dispersion\n(min, max, quantile, standard deviation, variance) and shape\n(skewness, kurtosis). Addition to these measures, it provides\ninformation on the data type, count on no. of rows, unique\nentries and percentage of missing entries. More importantly the\nmeasures are generated based on the data types as required by\nthem,rather than applying numerical measures on character and\ndata variables and vice versa. Output as a dataframe object\ngives a very neat representation, which often is useful when\nworking with a large number of columns. It can easily be\nexported as csv and analyzed further or presented as a summary\nreport for the data.",
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