[incubator-echarts-doc] branch next updated: complement data-transform doc.

[su...@apache.org]

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sushuang pushed a commit to branch next
in repository https://gitbox.apache.org/repos/asf/incubator-echarts-doc.git


The following commit(s) were added to refs/heads/next by this push:
     new beecb67  complement data-transform doc.
beecb67 is described below

commit beecb6711fcf5e30ec3288dc097f34c7383ce3ce
Author: 100pah <su...@gmail.com>
AuthorDate: Wed Nov 4 21:11:37 2020 +0800

    complement data-transform doc.
---
 en/tutorial/data-transform.md | 15 ++++++++++++++-
 zh/tutorial/data-transform.md | 15 ++++++++++++++-
 2 files changed, 28 insertions(+), 2 deletions(-)

diff --git a/en/tutorial/data-transform.md b/en/tutorial/data-transform.md
index 76d3bda..040f214 100644
--- a/en/tutorial/data-transform.md
+++ b/en/tutorial/data-transform.md
@@ -275,6 +275,12 @@ option = {
 };
 ```
 
+<br>
+<br>
+This is another example of filter transform:
+~[600x350](${galleryViewPath}data-transform-filter&reset=1&edit=1)
+
+
 **About dimension:**
 
 The `config.dimension` can be:
@@ -563,5 +569,12 @@ option = {
 };
 ```
 
-example: ecState regression
+Examples with echarts-stat:
+
++ [Bar histogram](${galleryEditorPath}bar-histogram&edit=1&reset=1)
++ [Scatter clustering](${galleryEditorPath}scatter-clustering&edit=1&reset=1)
++ [Scatter linear regression](${galleryEditorPath}scatter-linear-regression&edit=1&reset=1)
++ [Scatter exponential regression](${galleryEditorPath}scatter-exponential-regression&edit=1&reset=1)
++ [Scatter logarithmic regression](${galleryEditorPath}scatter-logarithmic-regression&edit=1&reset=1)
++ [Scatter polynomial regression](${galleryEditorPath}scatter-polynomial-regression&edit=1&reset=1)
 
diff --git a/zh/tutorial/data-transform.md b/zh/tutorial/data-transform.md
index e5824b9..c44f63e 100644
--- a/zh/tutorial/data-transform.md
+++ b/zh/tutorial/data-transform.md
@@ -266,6 +266,12 @@ option = {
 };
 ```
 
+<br>
+<br>
+这是 filter 的另一个例子的效果：
+~[600x350](${galleryViewPath}data-transform-filter&reset=1&edit=1)
+
+
 在 "filter" transform 中，有这些要素：
 
 **关于维度（ dimension ）：**
@@ -552,5 +558,12 @@ option = {
 };
 ```
 
-example: ecState regression
+一些使用 echarts-stat 的例子：
+
++ [直方图](${galleryEditorPath}bar-histogram&edit=1&reset=1)
++ [简单聚类](${galleryEditorPath}scatter-clustering&edit=1&reset=1)
++ [线性回归线](${galleryEditorPath}scatter-linear-regression&edit=1&reset=1)
++ [指数回归线](${galleryEditorPath}scatter-exponential-regression&edit=1&reset=1)
++ [对数回归线](${galleryEditorPath}scatter-logarithmic-regression&edit=1&reset=1)
++ [多项式回归线](${galleryEditorPath}scatter-polynomial-regression&edit=1&reset=1)
 


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