Plot CSV Data on a Map Online — Free Viewer
Upload a CSV file with latitude and longitude columns and Maparz plots each row as a point on an interactive map. Perfect for quickly visualising survey data, field observations, or any spreadsheet with coordinates — no GIS software or coding required.
CSV viewer & converter
About the CSV format
CSV (Comma-Separated Values) files containing geometry data typically include latitude and longitude columns (or X/Y columns for projected data). Many data providers distribute point datasets as CSV because they are easy to open in Excel, Python, and R. When converting from a vector format to CSV, Maparz outputs an X (longitude) and Y (latitude) column along with all attribute data. To convert CSV to GeoJSON, your file must have columns identifiable as longitude (x, lon, lng, longitude) and latitude (y, lat, latitude).
Strengths
- +Opens in Excel, Google Sheets, any spreadsheet
- +Human-readable and editable
- +Lightweight for point data
Limitations
- −No standard for geometry representation
- −Lines and polygons are difficult to represent
- −No CRS metadata
Frequently asked questions
Q.What column names does Maparz look for?
Maparz automatically detects columns named lat, latitude, y (for latitude) and lon, lng, longitude, x (for longitude). Make sure your CSV has a header row with one of these column names.
Q.Can I view line or polygon data in a CSV?
CSV is best suited for point data. For lines and polygons, convert to GeoJSON or Shapefile first. Maparz can convert your CSV to GeoJSON which preserves point geometry with all attributes.
Q.Does the CSV need to be in a specific encoding?
UTF-8 is recommended. Most spreadsheet exports from Excel, Google Sheets, or R default to UTF-8 or can be saved as UTF-8.
Q.Can I convert my CSV to GeoJSON after viewing?
Yes. After the preview loads, select GeoJSON (or Shapefile, KML, etc.) as the output and click Convert. Maparz uses GDAL's ogr2ogr for the conversion.