xurpas-data-quality 0.0.7

XAIL Data quality

Xurpas Data Quality Report

How to Use

• Load the data to be analyzed (so far only csv files supported)
• Import the DataReport class
• Save the report to html File

DataReport

Creates and saves to file the data report.

Args

file:       The path of the file you want to analyze. If empty, df parameter must exist.          Only supports .csv, .xlsx, .parquet, and .orc file formats df:       Pandas DataFrame object of data to be analyzed, If using df, file must be empty. report_name:  Name of the report. Defaults to 'Data Report' file_path:    Path/ directory of where the report is to be saved

Returns

HTML File of data quality Report

Sample Usage using pandas DataFrame

import pandas as pd
from xurpas_data_quality import DataReport

df = pd.read_csv("manhour_utilization_summary.csv")
report = DataReport(df=df,
                    report_name="Manhour Utilization Summary", 
                    file_path="test_reports/test.html")
report.to_file()

Sample Usage using filepath

from xurpas_data_quality import DataReport
report = DataReport(file="manhour_utilization_summary.csv",
                    report_name="Manhour Utilization Summary", 
                    file_path="test_reports/test.html")
report.to_file()