diff --git a/data/data-pipeline/.vscode/launch.json b/data/data-pipeline/.vscode/launch.json
index 5603df9a..42bb1622 100644
--- a/data/data-pipeline/.vscode/launch.json
+++ b/data/data-pipeline/.vscode/launch.json
@@ -94,15 +94,5 @@
         "update"
       ]
     },
-    {
-      "name": "upload map tiles to s3",
-      "type": "bash",
-      "request": "launch",
-      "module": "poetry",
-      "args": [
-        "update"
-      ]
-    },
-    // aws s3 sync ./data_pipeline/data/score/tiles/ s3://justice40-data/data-pipeline/data/score/tiles --acl public-read --delete
   ]
 }
diff --git a/data/data-pipeline/.vscode/tasks.json b/data/data-pipeline/.vscode/tasks.json
index 8b8c767f..37c0a5a3 100644
--- a/data/data-pipeline/.vscode/tasks.json
+++ b/data/data-pipeline/.vscode/tasks.json
@@ -39,15 +39,11 @@
     {
       "label": "Upload tiles to S3",
       "type": "shell",
-      "command": "aws",
-      "args": [
-        "s3",
-        "sync",
-        "./data_pipeline/data/score/tiles/",
-        "s3://justice40-data/data-pipeline/data/score/tiles",
-        "--acl public-read",
-        "--delete"
-      ]
+      "command": "aws s3 sync ./data_pipeline/data/score/tiles/ s3://justice40-data/data-pipeline/data/score/tiles --acl public-read --delete",
+      "presentation": {
+        "reveal": "always",
+        "panel": "new"
+      }
     },
   ]
 }
diff --git a/data/data-pipeline/data_pipeline/etl/score/etl_score_geo.py b/data/data-pipeline/data_pipeline/etl/score/etl_score_geo.py
index 2394f9a7..50172186 100644
--- a/data/data-pipeline/data_pipeline/etl/score/etl_score_geo.py
+++ b/data/data-pipeline/data_pipeline/etl/score/etl_score_geo.py
@@ -26,8 +26,8 @@ class GeoScoreETL(ExtractTransformLoad):
             self.DATA_PATH / "census" / "geojson" / "us.json"
         )
 
-        self.TARGET_SCORE_NAME = "Score E (percentile)"
-        self.TARGET_SCORE_RENAME_TO = "E_SCORE"
+        self.TARGET_SCORE_NAME = "Score D (percentile)"
+        self.TARGET_SCORE_RENAME_TO = "D_SCORE"
 
         self.NUMBER_OF_BUCKETS = 10
 
@@ -103,6 +103,10 @@ class GeoScoreETL(ExtractTransformLoad):
             crs="EPSG:4326",
         )
 
+        # round to 2 decimals
+        decimals = pd.Series([2], index=[self.TARGET_SCORE_RENAME_TO])
+        self.geojson_score_usa_low = self.geojson_score_usa_low.round(decimals)
+
     def _aggregate_to_tracts(
         self, block_group_df: gpd.GeoDataFrame
     ) -> gpd.GeoDataFrame: