enhance docs

docs-2.0-en/20.appendix/0.FAQ.md

@@ -20,7 +20,7 @@ NebulaGraph is still under development. Its behavior changes from time to time.
 
 ## About legacy version compatibility
 
-!!! compatibility "`X` version compatibility"
+!!! compatibility
 
     Neubla Graph {{ nebula.release }} is **not compatible** with NebulaGraph 1.x nor 2.0-RC in both data formats and RPC-protocols, and **vice versa**. The service process may **quit** if using an **lower version** client to connect to a **higher version** server.
 

docs-2.0-en/3.ngql-guide/8.clauses-and-options/group-by.md

@@ -78,7 +78,7 @@ For more information about the `sum()` function, see [Built-in math functions](.
 
 ## Implicit GROUP BY
 
-The usage of `GROUP BY` in the above nGQL statements that explicitly write `GROUP BY` and act as grouping fields is called explicit `GROUP BY`, while in openCypher, the `GROUP BY` is implicit, i.e., `GROUP BY` groups fields without explicitly writing `GROUP BY`. The explicit `GROUP BY` in nGQL is the same as the implicit `GROUP BY` in openCypher, and nGQL also supports the implicit `GROUP BY`. For the implicit usage of `GROUP BY`, see [how-to-make-group-by-in-a-cypher-query](https://stackoverflow.com/questions/52722671/how-to-make-group-by-in-a-cypher-query).
+The usage of `GROUP BY` in the above nGQL statements that explicitly write `GROUP BY` and act as grouping fields is called explicit `GROUP BY`, while in openCypher, the `GROUP BY` is implicit, i.e., `GROUP BY` groups fields without explicitly writing `GROUP BY`. The explicit `GROUP BY` in nGQL is the same as the implicit `GROUP BY` in openCypher, and nGQL also supports the implicit `GROUP BY`. For the implicit usage of `GROUP BY`, see [Stack Overflow](https://stackoverflow.com/questions/52722671/how-to-make-group-by-in-a-cypher-query).
 
 
 For example, to look up the players over 34 years old with the same length of service, you can use the following statement:

docs-2.0-en/nebula-dashboard/1.what-is-dashboard.md

@@ -42,7 +42,8 @@ The version correspondence between NebulaGraph and Dashboard Community Edition i
 
 |NebulaGraph version|Dashboard version|
 |:---|:---|
-|3.5.0        |3.4.0|
+|3.6.0        |3.4.0|
+|3.5.x        |3.4.0|
 |3.4.0 ~ 3.4.1|3.4.0、3.2.0|
 |3.3.0 |3.2.0|
 |2.5.0 ~ 3.2.0|3.1.0|

docs-2.0-zh/20.appendix/0.FAQ.md

@@ -25,7 +25,7 @@
 
 
 
-!!! compatibility "`X`版本兼容性"
+!!! compatibility
 
     {{nebula.name}} {{ nebula.release }} 与 历史版本 （包括{{nebula.name}} 1.x 和 2.x) 的数据格式、客户端通信协议均**双向不兼容**。
     使用**老版本**客户端连接**新版本**服务端，会导致服务进程**退出**。

docs-2.0-zh/3.ngql-guide/8.clauses-and-options/group-by.md

@@ -75,7 +75,7 @@ nebula> GO FROM "player100" OVER follow \
 
 ## 隐式分组
 
-在上述 nGQL 语句中明确写出`GROUP BY`并起到分组字段作用的用法称为`GROUP BY`显示用法；而在 openCypher 语句中`GROUP BY`的用法是隐式的，即在语句中不用写出`GROUP BY`也可起到分组字段的作用。nGQL 语句中显示地`GROUP BY`用法与 openCypher 语句中的隐式地`GROUP BY`用法相同，并且 nGQL 语句兼容 openCypher 的用法，即也支持隐式地使用`GROUP BY`。有关`GROUP BY`的隐式用法，请参见[how-to-make-group-by-in-a-cypher-query](https://stackoverflow.com/questions/52722671/how-to-make-group-by-in-a-cypher-query)。
+在上述 nGQL 语句中明确写出`GROUP BY`并起到分组字段作用的用法称为`GROUP BY`显示用法；而在 openCypher 语句中`GROUP BY`的用法是隐式的，即在语句中不用写出`GROUP BY`也可起到分组字段的作用。nGQL 语句中显示地`GROUP BY`用法与 openCypher 语句中的隐式地`GROUP BY`用法相同，并且 nGQL 语句兼容 openCypher 的用法，即也支持隐式地使用`GROUP BY`。有关`GROUP BY`的隐式用法，请参见[Stack Overflow](https://stackoverflow.com/questions/52722671/how-to-make-group-by-in-a-cypher-query)。
 
 例如：查询 34 岁以上的球员中完全重叠服役的区间。
 

docs-2.0-zh/nebula-dashboard/1.what-is-dashboard.md

@@ -40,7 +40,8 @@ NebulaGraph Dashboard（简称 Dashboard）是一款用于监控{{nebula.name}}
 
 |{{nebula.name}}版本|Dashboard 版本|
 |:---|:---|
-|3.5.0        |3.4.0|
+|3.6.0        |3.4.0|
+|3.5.x        |3.4.0|
 |3.4.0 ~ 3.4.1|3.4.0、3.2.0|
 |3.3.0        |3.2.0|
 |2.5.0 ~ 3.2.0|3.1.0|
@@ -51,9 +52,3 @@ NebulaGraph Dashboard（简称 Dashboard）是一款用于监控{{nebula.name}}
 ## 更新说明
 
 [Release](https://github.com/vesoft-inc/nebula-dashboard/releases/tag/{{dashboard.tag}})
-
-## 视频
-
-[NebulaGraph Dashboard Demo 介绍（v3.0 版本）](https://www.bilibili.com/video/BV12A4y1f7KL/)（2 分 57 秒）
-
-<iframe src="//player.bilibili.com/player.html?aid=896639724&bvid=BV12A4y1f7KL&cid=723060811&page=1&high_quality=1" scrolling="no" border="0" frameborder="no" framespacing="0" allowfullscreen="true" width="720px" height="480px"> </iframe>