Corrects readme typos and use of catch/error logs

articles/auto-thefts-2022/readme.md

@@ -2,7 +2,7 @@
 
 **Code and markup by Kyle Duncan**
 
-This is a data analysis and visualisation based on auto theft data from the Toronto Police Service. There are three aspects to this visualisation, an elevation-based overview of total thefts by neighbourhood, and a colour-based visual of thefts per square kilometer by neighbourhood at lower zoom levels; and a clustered count of individual thefts locations at higher zoom levels.
+This is a data analysis and visualisation based on auto theft data from the Toronto Police Service. There are three aspects to this visualisation: an elevation-based overview of total thefts by neighbourhood, and a colour-based visual of thefts per square kilometer by neighbourhood at lower zoom levels; and a clustered count of individual thefts locations at higher zoom levels.
 
 Popups with more detail appear on click for both neighbourhoods and individual thefts, and the user can view a given year's data using the selector in the legend. Multiple thefts at a single location are collated and ordered in single popup.
 

articles/raptors-distance-traveled/article.js

@@ -230,7 +230,7 @@ function getDistances() {
       addImages(d.data);
       findMatches(d);
     })
-    .catch((e) => console.log("error:", e));
+    .catch((e) => console.error(e));
 }
 
 // add the arena graphic to the map
@@ -322,4 +322,4 @@ fetch(
     d.forEach((l) => destinations.push(l));
     getDistances();
   })
-  .catch((e) => console.log("error:", e));
+  .catch((e) => console.error(e));

articles/raptors-distance-traveled/readme.md

@@ -47,7 +47,7 @@ function getDestinations(features) {
         };
         destinations.push(pair);
       })
-      .catch((e) => console.log("error:", e));
+      .catch((e) => console.error(e));
     fetches.push(p);
   });
   Promise.all(fetches).then(() => {