make linter happy

Author: mneedham

docs/use-cases/time-series/query-performance.md

@@ -13,7 +13,7 @@ keywords: [time-series]
 
 
 Before attempting other optimizations, users should optimize their ordering key to ensure ClickHouse produces the fastest possible results. 
-Choosing the key right largely depends on the queries you’re going to run. Suppose most of our queries filter by project and subproject columns. 
+Choosing the key right largely depends on the queries you’re going to run. Suppose most of our queries filter by `project` and `subproject` columns. 
 In this case, its a good idea to add them to the ordering key - as well as the time column since we query on time as well:
 
 Let's create another version of the table that has the same column types as `wikistat`, but is ordered by `(project, subproject, time)`.

docs/use-cases/time-series/storage-efficiency.md

@@ -14,7 +14,7 @@ This section demonstrates practical techniques to reduce storage requirements wh
 ## Type optimization
 
 The general approach to optimizing storage efficiency is using optimal data types. 
-Let’s take the project and subprojects columns. These columns are of type String, but have a relatively small amount of unique values:
+Let’s take the `project` and `subproject` columns. These columns are of type String, but have a relatively small amount of unique values:
 
 ```sql
 SELECT