add lines and polygons support info to features section and data formats table in docs (#31)

Author: RandomFractals

README.md

@@ -33,6 +33,7 @@ Leaflet Map 🗺️ Notebook 📓 cell ⌗ output renderer uses [Leaflet](https:
 # Features
 
 - View Location data from `CSV`, `XML`, `JSON`, and [`GeoJSON`](https://www.rfc-editor.org/rfc/rfc7946.html) Notebook 📓 cell ⌗ data output on the Leaflet 🌿 map 🗺️ with [clustered markers](https://github.com/RandomFractals/vscode-leaflet/issues/8#issuecomment-894707382), [location information popups](https://github.com/RandomFractals/vscode-leaflet/issues/28#issuecomment-894812944) and [hover tooltips](https://github.com/RandomFractals/vscode-leaflet/issues/30#issuecomment-894824576)
+- View [Point](https://www.rfc-editor.org/rfc/rfc7946.html#section-3.1.2), [LineString](https://www.rfc-editor.org/rfc/rfc7946.html#section-3.1.4), [MultiLineString](https://www.rfc-editor.org/rfc/rfc7946.html#section-3.1.5), [Polygon](https://www.rfc-editor.org/rfc/rfc7946.html#section-3.1.6), and [MultiPolygon](https://www.rfc-editor.org/rfc/rfc7946.html#section-3.1.7) `GeoJSON` features with interactive point, lines, regions, and `properties` info display on geometry hover and click
 - [REST Book](https://github.com/RandomFractals/vscode-leaflet#rest-book-example) 📓 [TypeScript Notebook](https://github.com/RandomFractals/vscode-leaflet#typescript-notebook-example) 📓 [.NET Interactive Notebook](https://github.com/RandomFractals/vscode-leaflet#net-interactive-notebook-example) 📓 and [Pyolite](https://github.com/RandomFractals/vscode-leaflet#pyolite-notebook-example) 🐍 [Notebook Examples](https://github.com/RandomFractals/vscode-leaflet#%EF%B8%8F-examples) 📚
 - View `JSON`, `CSV`, and `XML` data without Geo Location information in `JSON` format in a scrollable text container with [`code pre-wrap`](https://developer.mozilla.org/en-US/docs/Web/HTML/Element/code) for a quick copy/paste to other places:
 
@@ -45,11 +46,11 @@ Leaflet 🌿 Map 🗺️ Notebook 📓 cell ⌗ data output Renderer supports lo
 
 | Data Mime Type | Location Data | Geo Location Processing Description |
 | --- | --- | --- |
-| `application/geo+json` | [Point](https://www.rfc-editor.org/rfc/rfc7946.html#section-3.1.2) | `GeoJSON` Location `Point` coordinates are displyaed as clustered markers using [`leaflet.markercluster`](https://github.com/Leaflet/Leaflet.markercluster) JavaScript library with custom marker cluster icons and config. See our [leafletMap.js](https://github.com/RandomFractals/vscode-leaflet/blob/main/src/renderer/leafletMap.js) for more info about that setup. |
+| `application/geo+json` | [Point](https://www.rfc-editor.org/rfc/rfc7946.html#section-3.1.2), [LineString](https://www.rfc-editor.org/rfc/rfc7946.html#section-3.1.4), [MultiLineString](https://www.rfc-editor.org/rfc/rfc7946.html#section-3.1.5), [Polygon](https://www.rfc-editor.org/rfc/rfc7946.html#section-3.1.6), [MultiPolygon](https://www.rfc-editor.org/rfc/rfc7946.html#section-3.1.7) | `GeoJSON` Location `Point` coordinates are displyaed as clustered markers using [`leaflet.markercluster`](https://github.com/Leaflet/Leaflet.markercluster) JavaScript library with custom marker cluster icons and config. Lines and polygons are added to the map and displayed via Leaflet 🌿 [GeoJSON Layer](https://leafletjs.com/reference-1.7.1.html#geojson). See our [leafletMap.js](https://github.com/RandomFractals/vscode-leaflet/blob/main/src/renderer/leafletMap.js) for more info about that setup. |
 | `application/json` | Objects that contain geo location property pairs ending with: `latitude`/`longitude`, `lat/lng`, or `lat/lng`| Flat `JSON` data objects and arrays are processed by our custom [`GeoConverter`](https://github.com/RandomFractals/vscode-leaflet/blob/main/src/renderer/geoConverter.ts) to extract Location information and covert loaded dataset to `GeoJSON` for display on the map. |
 | `text/csv` | `CSV` data with column names in the 1st header row and columns ending with: `latitude`/`longitude`, `lat/lng`, or `lat/lng` | `CSV` data is parsed with [d3-dsv](https://github.com/d3/d3-dsv) JavaScript library and converted to flat `JSON` data array and then to `GeoJSON` with our [`GeoConverter`](https://github.com/RandomFractals/vscode-leaflet/blob/main/src/renderer/geoConverter.ts) to display locations on the map. |
 | `application/xml` or `text/xml` | `XML` data with root node children that contain attributes ending with: `latitude`/`longitude`, `lat/lng`, or `lat/lng` | `XML` data is parsed with [fast-xml-parser](https://github.com/NaturalIntelligence/fast-xml-parser) to load it into `JSON` data objects array and then processed with our [`GeoConverter`](https://github.com/RandomFractals/vscode-leaflet/blob/main/src/renderer/geoConverter.ts) to display locations on the map. `XML` data support is very alpha and experimental at this point, and might be removed later. |
-| `application/vnd.code.notebook.stdout` or `text/plain` | Location data as `string` in `CSV`, `XML`, `JSON` or `GeoJSON` data format as described above | Text data typically comes from display and [`console.log()`](https://developer.mozilla.org/en-US/docs/Web/API/console/log) instructions in vscode notebooks. We try to parse text as `JSON` with [`JSON.parse()`](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/JSON/parse), as `CSV` with [d3-dsv.csvParse()](https://github.com/d3/d3-dsv#csvParse), and as `XML` with [fast-xml-parser](https://github.com/NaturalIntelligence/fast-xml-parser). If those parse methods fail, or provided notebook cell text output contains no location data we can extract, we display text output in a custom scrollable text container with [`code pre-wrap`](https://developer.mozilla.org/en-US/docs/Web/HTML/Element/code) for a quick copy/paste to other places. Otherwise, loaded data is converted to `GeoJSON` with our [`GeoConverter`](https://github.com/RandomFractals/vscode-leaflet/blob/main/src/renderer/geoConverter.ts) for locations display on the map. |
+| `application/` `vnd.code.notebook.stdout` or `text/plain` | Location data as `string` in `CSV`, `XML`, `JSON` or `GeoJSON` data format as described above | Text data typically comes from display and [`console.log()`](https://developer.mozilla.org/en-US/docs/Web/API/console/log) instructions in vscode notebooks. We try to parse text as `JSON` with [`JSON.parse()`](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/JSON/parse), as `CSV` with [d3-dsv.csvParse()](https://github.com/d3/d3-dsv#csvParse), and as `XML` with [fast-xml-parser](https://github.com/NaturalIntelligence/fast-xml-parser). If those parse methods fail, or provided notebook cell text output contains no location data we can extract, we display text output in a custom scrollable text container with [`code pre-wrap`](https://developer.mozilla.org/en-US/docs/Web/HTML/Element/code) for a quick copy/paste to other places. Otherwise, loaded data is converted to `GeoJSON` with our [`GeoConverter`](https://github.com/RandomFractals/vscode-leaflet/blob/main/src/renderer/geoConverter.ts) for locations display on the map. |
 
 # 🗺️ Examples