commit 8dfa10cdf52c01f620beae5e9470c269edaea53e
author Marc Kupietz <kupietz@ids-mannheim.de> Sun Sep 11 18:41:25 2022 +0200
committer Marc Kupietz <kupietz@ids-mannheim.de> Sun Sep 11 18:46:45 2022 +0200
tree 06577bc3a550bff440a91c535d0565c650a32c87
parent 9699962902b26eed4ad5d576739f06f86e9ba156

Add link to interactive hello world plot from Readme.md

Change-Id: I545f669ac3becf9f6a2dba0887de7b73d81022bb

Link plot image in Readme to interactive version

Change-Id: I0e2e7a44462aeb7091acddc36cfddcab66a0859f

Readme.md

diff --git a/Readme.md b/Readme.md
index 9f25ab1..f4af6fd 100644
--- a/Readme.md
+++ b/Readme.md
@@ -67,9 +67,9 @@
 ## Examples
 #### Frequencies of "Hello World" over years and countries
 ```python
+from KorAPClient import KorAPClient, KorAPConnection
 import altair as alt
 import pandas as pd
-from KorAPClient import KorAPClient, KorAPConnection
 
 QUERY = "Hello World"
 df = pd.DataFrame(range(2010, 2019), columns=["Year"], dtype=str) \
@@ -80,7 +80,8 @@
 alt.Chart(df).mark_line(point=True).encode(y="ipm", x="Year:T", color="Country", href="webUIRequestUrl") \
     .properties(title=QUERY).show()
 ```
-![Frequency per million words of “Hello World“ in DE vs. AT from 2010 to 2018 in newspapers and magazines](figures/hello-world.png)
+[![Frequency per million words of “Hello World“ in DE vs. CH from 2010 to 2018 in newspapers and magazines](figures/hello-world.png)<!-- -->](https://korap.github.io/PythonKorAPClient/figures/hello_world.html)
+
 
 ### Identify *in … setzen* light verb constructions by the `collocationAnalysis` method
 [![Lifecycle:experimental](https://lifecycle.r-lib.org/articles/figures/lifecycle-experimental.svg)](https://www.tidyverse.org/lifecycle/#experimental)

figures/hello-world.png

diff --git a/figures/hello-world.png b/figures/hello-world.png
index 031872d..0f2bd73 100644
--- a/figures/hello-world.png
+++ b/figures/hello-world.png
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