What Is a CSV Map?
A CSV map is a way of turning rows in a spreadsheet into points on a real map. If each row in your file describes a place — a store, a customer, a weather station, a delivery stop — and includes its latitude and longitude, a mapping tool can plot every row at its real-world position. Suddenly the spreadsheet becomes geography: you can see clusters, gaps and patterns that are invisible in a table of numbers.
How to Map a CSV
- Upload your CSV — drag it into the drop zone above. The file is read locally by your browser.
- Let the analyzer detect coordinates — columns called latitude, lat, longitude, lng, lon, x or y are found automatically; you can also pick them by hand.
- Choose your visualization — points, bubble map, heatmap, clusters or a category map.
- Filter your data — use the numeric sliders and category checkboxes to focus on the rows that matter.
- Explore the map — click markers for details, hover for highlights, and click a table row to fly to that location.
- Export your results — download the filtered CSV, a GeoJSON FeatureCollection, or a map image.
What CSV Data Can I Map?
Any dataset with coordinates works. Common examples:
- Sales locations and store locations
- Customer locations
- Real estate listings
- Population data
- Weather stations
- Schools and campuses
- Restaurants
- Wildlife observations
- Delivery locations and routes
- Business locations and branches
- Survey results with GPS coordinates
Latitude and Longitude
Latitude measures how far north or south a point is (−90 to 90), and longitude measures how far east or west it is (−180 to 180). Together the two numbers pin down any spot on Earth. When your CSV has both, each row can be placed exactly: the analyzer reads the two values, converts them to a position on a web map, and draws a marker there. Rows with missing or out-of-range coordinates are reported in the data quality panel instead of being silently dropped.
Want deeper statistics on the same file? Pair this map with the free CSV Data Analyzer, or visualize a map projection itself with the Mercator vs Equal Earth comparison.
Bubble Maps vs Heatmaps
A bubble map draws a circle at every location and sizes the circle by a value in your data — big sales, big circle. It answers “where are my biggest values?” A heatmap ignores individual rows and shades the map by density — many nearby points create a bright hotspot. It answers “where is the activity concentrated?” Use bubbles when each row's magnitude matters; use a heatmap when the pattern of crowding matters more than the individual rows.
Frequently Asked Questions
Can I map a CSV file?
Yes. Drop any CSV that contains latitude and longitude columns into the analyzer and it becomes an interactive map instantly — no account, no software install, no upload.
Does my CSV need latitude and longitude?
For this version, yes — rows are placed on the map using numeric latitude and longitude values. If the columns are not detected automatically you can select them manually. If your file only has addresses or postal codes, it will need to be geocoded first.
Is this GIS analyzer free?
Yes, completely free. There is no sign-up, no paywall and no usage limit.
Is my data uploaded to a server?
No. Your CSV is parsed and mapped entirely in your browser and is never sent to a Slopbin server. The only external requests are for the map's background tiles, which the map needs to draw the geography.
Can I map thousands of locations?
Yes. The analyzer handles 10,000 to 50,000 rows comfortably and can go higher thanks to marker clustering and canvas rendering. Very large files may take a moment to render.
Can I download the mapped data?
Yes. You can download the currently filtered rows as a CSV, download all mapped rows as a GeoJSON FeatureCollection, or save the current map view as a PNG image.
What is GeoJSON?
GeoJSON is a standard open format for geographic features. Each CSV row becomes a Point feature with its coordinates and all columns as properties, so it can be imported into almost any mapping or GIS tool.
Can I use this on my phone?
Yes. The map takes priority on small screens and the controls, filters and data table become touch-friendly panels you can open and close.