Impara Automating HR Report Generation | Reporting and Insights for HR

Automating HR report generation allows you to create consistent, timely, and accurate overviews of workforce data with minimal manual effort. HR reporting covers a variety of report types, such as headcount by department, turnover summaries, and employee demographics. Automating these reports offers several benefits: you save time, reduce errors, and ensure reports are always up-to-date. Common formats for automated reports include plain text summaries, spreadsheets, and PDFs. In this chapter, you will see how to use Python to generate a simple text report summarizing employee counts by department, and how to enhance your report with clear formatting and summary sections.


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import pandas as pd

# Example employee data
data = {
    "Name": ["Alice", "Bob", "Charlie", "Diana", "Eli"],
    "Department": ["HR", "IT", "HR", "Finance", "IT"]
}
df = pd.DataFrame(data)

# Count employees by department
department_counts = df["Department"].value_counts()

# Generate report as a formatted string
report_lines = ["Employee Count by Department:"]
for dept, count in department_counts.items():
    report_lines.append(f"  {dept}: {count}")

report = "\n".join(report_lines)
print(report)

When creating automated reports, string formatting is essential for making your output readable and professional. In Python, you can use f-strings to insert variable values directly into your report text. Organizing your report into clear sections—such as headings, lists, and summaries—makes it easier for others to read and interpret the information. For example, you might start with a title, list counts by category, and then end with a summary that totals all employees.


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# Add a summary section with total employee count
total_employees = len(df)

report_lines.append("")
report_lines.append(f"Total Employees: {total_employees}")

report_with_summary = "\n".join(report_lines)
print(report_with_summary)

1. What is one advantage of automating HR report generation?

2. Which Python feature helps format text for reports?

3. Fill in the blank: To add a new line in a string, use the _______ character.

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Sezione 3. Capitolo 1

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Suggested prompts:

Can you explain how to customize the report for different data fields?

How can I automate the generation of this report on a schedule?

Can you show how to export the report to a PDF or spreadsheet?

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              12345678910111213141516171819
            
import pandas as pd

# Example employee data
data = {
    "Name": ["Alice", "Bob", "Charlie", "Diana", "Eli"],
    "Department": ["HR", "IT", "HR", "Finance", "IT"]
}
df = pd.DataFrame(data)

# Count employees by department
department_counts = df["Department"].value_counts()

# Generate report as a formatted string
report_lines = ["Employee Count by Department:"]
for dept, count in department_counts.items():
    report_lines.append(f"  {dept}: {count}")

report = "\n".join(report_lines)
print(report)


              12345678
            
# Add a summary section with total employee count
total_employees = len(df)

report_lines.append("")
report_lines.append(f"Total Employees: {total_employees}")

report_with_summary = "\n".join(report_lines)
print(report_with_summary)