Automatically Generate Data Reports with Python

01Automatically Generate Data Reports with PythonAutomatically Generate Data Reports with PythonAutomatically Generate Data Reports with Python

Today, I will share how to automatically generate data reports using a few lines of Python code. The content is for technical learning and exchange purposes only.

Automatically Generate Data Reports with PythonAutomatically Generate Data Reports with Python

Automatically Generate Data Reports with Python

Automatically Generate Data Reports with PythonImplementation Techniques

1. Import Required Libraries

The main task is to install the necessary libraries. The environment used for this implementation is: Python 3.7.

import pandas as pd
import sweetviz as sv
from sklearn import datasets

2. Read the Data to be Analyzed

The main task is to read the dataset that needs to be analyzed.

sklearn_dataset = datasets.load_iris()
data = pd.DataFrame(sklearn_dataset.data, columns=sklearn_dataset.feature_names)
data['target'] = pd.Series(sklearn_dataset.target)

3. Analyze the Data and Generate the Report

The main task is to automatically analyze the data and generate a set of analysis reports.

analyze = sv.analyze(data)
analyze.show_html("analyze_report.html")

Complete Source Code

import pandas as pd
import sweetviz as sv
from sklearn import datasets

sklearn_dataset = datasets.load_iris()
data = pd.DataFrame(sklearn_dataset.data, columns=sklearn_dataset.feature_names)
data['target'] = pd.Series(sklearn_dataset.target)

analyze = sv.analyze(data)
analyze.show_html("analyze_report.html")

Automatically Generate Data Reports with Python

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