How do I calculate average scores from a CSV survey?

In a spreadsheet use AVERAGE on the rating column. In Python, use pandas mean(). In SQL, use AVG() with GROUP BY for breakdowns by category or segment.

How do I analyze open-text responses?

Open-text fields require qualitative analysis: read through responses, tag common themes, and count frequency. Tools like word clouds give a visual overview of frequently mentioned terms.

What is a Likert scale?

A Likert scale asks respondents to rate agreement or satisfaction on a numeric scale (e.g., 1–5 or 1–7). It is the most common format for measuring opinions and attitudes in surveys.

Format a CSV Survey Results File

Survey tool exports (Google Forms, Typeform, SurveyMonkey) produce CSV files with question text as column headers and one response row per respondent. This example shows a developer satisfaction survey with rating scales and text fields. The CSV viewer renders long headers legibly so you can scan all questions without horizontal scrolling. Use the CSV to JSON converter to prepare this data for a charting library.

Example

response_id,submitted_at,overall_satisfaction,ease_of_use,would_recommend,biggest_pain_point
R001,2024-01-10 09:23,4,5,yes,Documentation could be clearer
R002,2024-01-10 10:45,3,3,no,Too many steps to get started
R003,2024-01-10 11:02,5,5,yes,Nothing — love it
R004,2024-01-11 08:17,4,4,yes,Pricing is a bit high
R005,2024-01-11 09:55,2,2,no,Bugs in the mobile app

[ open in CSV File Viewer → ]

FAQ

How do I calculate average scores from a CSV survey?: In a spreadsheet use AVERAGE on the rating column. In Python, use pandas mean(). In SQL, use AVG() with GROUP BY for breakdowns by category or segment.
How do I analyze open-text responses?: Open-text fields require qualitative analysis: read through responses, tag common themes, and count frequency. Tools like word clouds give a visual overview of frequently mentioned terms.
What is a Likert scale?: A Likert scale asks respondents to rate agreement or satisfaction on a numeric scale (e.g., 1–5 or 1–7). It is the most common format for measuring opinions and attitudes in surveys.

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