ToolKitSphereCSV Analyzer & Column Inspector
Inspect column data types, unique values, null counts, and row statistics.
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Before importing or cleaning a dataset, it helps to know what's actually inside it: which columns hold numbers versus text, how many blank cells exist, and how many unique values each column contains. This CSV analyzer profiles your data automatically, generating a per-column summary with inferred data type, null count, and unique value count, along with basic row-level statistics. It's a quick first step for data analysts, engineers doing data cleaning, and anyone auditing a spreadsheet export for quality issues. No formulas or pivot tables needed, just paste your CSV and get an instant profile. Analysis runs entirely in your browser, so your dataset is never uploaded, and there's no signup required. Paste your CSV below to see a full column breakdown.
Features
- Infers data type for each column (text, number, date, boolean)
- Counts null, empty, and missing values per column
- Reports unique value counts and top frequent values
- Shows total row and column counts
- Flags columns with mixed or inconsistent data types
- Displays min/max and average for numeric columns
- Works with large datasets without a spreadsheet app
- Fully client-side analysis with no data upload
Why use this csv analyzer & column inspector?
- Profiles a dataset in seconds instead of manual review
- Keeps your data private with local browser processing
- Surfaces data quality issues before they cause problems
- No spreadsheet formulas or scripting needed
- Free with unlimited use
Frequently asked questions
What does a CSV analyzer show for each column?
It shows the inferred data type, count of null or empty values, number of unique values, and for numeric columns, basic statistics like minimum, maximum, and average.
How does it detect a column's data type?
It samples the values in each column and infers whether they're consistently numbers, dates, booleans, or plain text based on their format.
Can it find columns with mixed data types?
Yes, if a column contains a mix of numbers and text, it's flagged so you can investigate potential data quality issues.
Does it count duplicate or unique values?
Yes, each column's unique value count is reported, which helps identify categorical fields or potential duplicate records.
Is my CSV file uploaded for analysis?
No, the entire analysis runs locally in your browser - your data is never transmitted to a server.
Can I use this before importing data into a database?
Yes, it's a useful pre-import check to catch null values, inconsistent types, and structural anomalies before they cause import failures.
Does the analyzer work on very wide CSV files with many columns?
Yes, it profiles every column regardless of width, though extremely large files may take a moment longer to summarize.
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