Search Results for "function point analysis"

ydata-profiling primary goal is to provide a one-line Exploratory Data Analysis (EDA) experience in a consistent and fast solution. Like pandas df.describe() function, that is so handy, ydata-profiling delivers an extended analysis of a DataFrame while allowing the data analysis to be exported in different formats such as html and json.

pandas-profiling generates profile reports from a pandas DataFrame. The pandas df.describe() function is handy yet a little basic for exploratory data analysis. pandas-profiling extends pandas DataFrame with df.profile_report(), which automatically generates a standardized univariate and multivariate report for data understanding. High correlation warnings, based on different correlation metrics (Spearman, Pearson, Kendall, Cramér’s V, Phik).

...The evaluation is performed in a genomic region defined by the user, and it provides some statistics computed from the reads that map to that region (ie. a single gene). The program provides a graphical output embedded in an html file. The analysis contains the sequencing quality along the reads, the mapping quality distribution, the coverage of the defined region, the overall quality at each nucleotide position, and the distribution of the coverage as a function of the GC content in the reference genome. The results provided by this program can help to distinguish between sequence variation and sequencing errors.