update cc-archive/cccatalog-dataviz url

Author: TimidRobot

content/blog/entries/2020-03-05-involucrate-gsoc-outreachy-es/contents.lr

@@ -31,7 +31,7 @@ En las versiones pasadas de estos programas tuvimos excelentes resultados llevad
 - [CC Search Browser extension](https://github.com/creativecommons/ccsearch-browser-extension) por Mayank Nader
 - [CC Vocabulary](https://github.com/creativecommons/vue-vocabulary) por Dhruv Bhanushali
 - [Revamping the CC Chooser](https://github.com/creativecommons/cc-chooser) por Ari Madian
-- [CC Catalog Data Visualization](https://github.com/creativecommons/cccatalog-dataviz) por Maria Belen Guaranda
+- [CC Catalog Data Visualization](https://github.com/cc-archive/cccatalog-dataviz) por Maria Belen Guaranda
 
 ## Outreachy 2019-2020
 - [Improve License Chooser](https://github.com/creativecommons/cc-chooser) por Olga Bulat

content/blog/entries/2020-12-07-upcoming-changes-to-community/contents.lr

@@ -68,7 +68,7 @@ The following projects are entering maintenance mode. The services will remain o
 -   [CC Catalog](https://github.com/creativecommons/cccatalog)
 -   [CC Catalog API](https://github.com/creativecommons/cccatalog-api)
 -   [CC Search](https://github.com/creativecommons/cccatalog-frontend/)
--   [Linked Commons](https://github.com/creativecommons/cccatalog-dataviz/)
+-   [Linked Commons](https://github.com/cc-archive/cccatalog-dataviz/)
 
 Catalog, API, and Linked Commons contributors are encouraged to contribute  to our other Python projects such as the [CC Legal Database](https://github.com/creativecommons/legaldb) or the upcoming [CC Licenses](https://github.com/creativecommons/cc-licenses) project. If you are a CC Search contributor, we recommend checking out frontend projects such as the [CC Chooser](https://github.com/creativecommons/chooser) or [Vocabulary](https://github.com/creativecommons/vocabulary).
 

content/blog/entries/cc-datacatalog-data-processing-2/contents.lr

@@ -68,7 +68,7 @@ The thresholds for the quantity of images and links are my intuitions from havin
 - Visualization with the data. 
 - Development or modification of pruning/filtering rules.
 
-You can follow the project development in the [Github repo](https://github.com/creativecommons/cccatalog-dataviz).
+You can follow the project development in the [Github repo](https://github.com/cc-archive/cccatalog-dataviz).
 
 CC Data Catalog Visualization is my GSoC 2019 project under the guidance of [Sophine
 Clachar](https://creativecommons.org/author/sclachar/), who has been greatly helpful and considerate since the GSoC application period. Also, my backup mentor, [Breno Ferreira](https://creativecommons.org/author/brenoferreira/), and engineering director [Kriti

content/blog/entries/cc-datacatalog-data-processing-3/contents.lr

@@ -56,7 +56,7 @@ The other tasks left to do are:
 - Visualization of the pie chart
 - Development or modification of pruning/filtering rules.
 
-You can follow the project development in the [Github repo](https://github.com/creativecommons/cccatalog-dataviz).
+You can follow the project development in the [Github repo](https://github.com/cc-archive/cccatalog-dataviz).
 
 CC Data Catalog Visualization is my GSoC 2019 project under the guidance of [Sophine
 Clachar](https://creativecommons.org/author/sclachar/), who has been greatly helpful and considerate since the GSoC application period. Also, my backup mentor, [Breno Ferreira](https://creativecommons.org/author/brenoferreira/), and engineering director [Kriti

content/blog/entries/cc-datacatalog-data-processing/contents.lr

@@ -67,7 +67,7 @@ Another important aspect is the licenses types. In the dataset, we do not have t
 - Data aggregation
 - Visualization with the data + perfectioning pruning/filtering rules
 
-You can follow the project development in the [Github repo](https://github.com/creativecommons/cccatalog-dataviz).
+You can follow the project development in the [Github repo](https://github.com/cc-archive/cccatalog-dataviz).
 
 CC Data Catalog Visualization is my GSoC 2019 project under the guidance of [Sophine
 Clachar](https://creativecommons.org/author/sclachar/), who has been greatly helpful and considerate since the GSoC application period. Also, my backup mentor, [Breno Ferreira](https://creativecommons.org/author/brenoferreira/), and engineering director [Kriti

content/blog/entries/cc-datacatalog-data-thelinkedcommons/contents.lr

@@ -87,7 +87,7 @@ Here is the final visualization, using a sample data from one month of the Commo
 <br>
 
 
-You can check the whole project source code in the [Github repo](https://github.com/creativecommons/cccatalog-dataviz/tree/master/GSoC2019). 
+You can check the whole project source code in the [Github repo](https://github.com/cc-archive/cccatalog-dataviz/tree/master/GSoC2019). 
 
 ### Final comments and future work
 This was my first experience with big data visualization, and I really enjoyed it!

content/blog/entries/cc-datacatalog-visualization/contents.lr

@@ -73,7 +73,7 @@ As the front-end is complete, I am going to get my hands dirty with the data. Fu
 - Reviewing of part of the dataset
 - Implementation of a module for cleaning and parsing the data
 
-You can follow the project development in the [Github repo](https://github.com/creativecommons/cccatalog-dataviz).
+You can follow the project development in the [Github repo](https://github.com/cc-archive/cccatalog-dataviz).
 
 CC Data Catalog Visualization is my GSoC 2019 project under the guidance of [Sophine
 Clachar](https://creativecommons.org/author/sclachar/), who has been greatly helpful and considerate since the GSoC application period. Also, my backup mentor, [Breno Ferreira](https://creativecommons.org/author/brenoferreira/), and engineering director [Kriti

content/blog/entries/linked-commons-autocomplete-feature/contents.lr

@@ -78,4 +78,4 @@ Here are some aggregated result statistics.
 In the next blog, we will be covering the long awaited data update and the new architecture.
 
 ## Conclusion
-Overall, I enjoyed working on this feature and it was a great learning experience. This feature has been successfully integrated to the development version, do check it out. Now that you have read this blog till the end, I hope that you enjoyed it. For more information please visit our [Github repo](https://github.com/creativecommons/cccatalog-dataviz/). We are looking forward to hearing from you on linked commons. Our [slack](https://creativecommons.slack.com/channels/cc-dev-cc-catalog-viz) doors are always open to you, see you there. :)
+Overall, I enjoyed working on this feature and it was a great learning experience. This feature has been successfully integrated to the development version, do check it out. Now that you have read this blog till the end, I hope that you enjoyed it. For more information please visit our [Github repo](https://github.com/cc-archive/cccatalog-dataviz/). We are looking forward to hearing from you on linked commons. Our [slack](https://creativecommons.slack.com/channels/cc-dev-cc-catalog-viz) doors are always open to you, see you there. :)

content/blog/entries/linked-commons-data-update/contents.lr

@@ -83,7 +83,7 @@ This small change in the design simplified a lot of things, and now the new grap
 
 ## Conclusion
 
-This task was really challenging and I learnt a lot. It was really mesmerizing to see the **Linked Commons grow and evolve**. I hope you enjoyed reading this blog. You can follow the project development [here](https://github.com/creativecommons/cccatalog-dataviz/), and access the stable version of linked commons [here](http://dataviz.creativecommons.engineering/). 
+This task was really challenging and I learnt a lot. It was really mesmerizing to see the **Linked Commons grow and evolve**. I hope you enjoyed reading this blog. You can follow the project development [here](https://github.com/cc-archive/cccatalog-dataviz/), and access the stable version of linked commons [here](http://dataviz.creativecommons.engineering/). 
 
 Feel free to report bugs and suggest features. It will help us improve this project. If you wish to join the our team, consider joining our [slack](https://creativecommons.slack.com/channels/cc-dev-cc-catalog-viz) channel. Read more about our community teams [here](https://opensource.creativecommons.org/community/). See you in my next blog! 🚀
 ___

content/blog/entries/linked-commons-gsoc-wrap-up/contents.lr

@@ -75,19 +75,19 @@ Description: Returns a set of nodes which contains the {query} pattern in their
 
 ### My Code Contributions
 
-**Repository:** https://github.com/creativecommons/cccatalog-dataviz/
+**Repository:** https://github.com/cc-archive/cccatalog-dataviz/
 
-**Commits:** https://github.com/creativecommons/cccatalog-dataviz/commits/master
+**Commits:** https://github.com/cc-archive/cccatalog-dataviz/commits/master
 
-**Contributors:** https://github.com/creativecommons/cccatalog-dataviz/graphs/contributors
+**Contributors:** https://github.com/cc-archive/cccatalog-dataviz/graphs/contributors
 
 
-[**Migrate frontend to React #28**](https://github.com/creativecommons/cccatalog-dataviz/pull/28)
+[**Migrate frontend to React #28**](https://github.com/cc-archive/cccatalog-dataviz/pull/28)
 - Migrated the frontend to a web application using React.js for smooth rendering performance.
 - Add client-side graph filtering method to enable users to interact with the loaded graph.
 
 
-[**Add server-side filtering #29**](https://github.com/creativecommons/cccatalog-dataviz/pull/29)
+[**Add server-side filtering #29**](https://github.com/cc-archive/cccatalog-dataviz/pull/29)
 - We realized that the client-side graph filtering method is not very scalable. This PR adds the basic structure for the backend server and adds server-side graph filtering logic.
 - Added a parser to convert the input JSON file from `{nodes:[], links:[]}` schema to the distance list format. 
 
@@ -100,7 +100,7 @@ Description: Returns a set of nodes which contains the {query} pattern in their
 
 
 
-[**Design upgrade #33**](https://github.com/creativecommons/cccatalog-dataviz/pull/33)
+[**Design upgrade #33**](https://github.com/cc-archive/cccatalog-dataviz/pull/33)
 - It revamped the design of the frontend.
 - Added both primary light theme and secondary dark theme
 
@@ -111,24 +111,24 @@ Description: Returns a set of nodes which contains the {query} pattern in their
     </figure>
 </div>
 
-[**Add node suggestions feature #35**](https://github.com/creativecommons/cccatalog-dataviz/pull/35)
+[**Add node suggestions feature #35**](https://github.com/cc-archive/cccatalog-dataviz/pull/35)
 - Added query autocomplete feature, to enable users to explore all the nodes in the database.
 - This functionality aims to minimize the number of misspelt filtering tries from the client. 
 - Refer to [this blog](/blog/entries/linked-commons-autocomplete-feature/) for the motivation and detailed report on why we added autocomplete aka node suggestions feature.
 
 
-[**Fix filtering module #38**](https://github.com/creativecommons/cccatalog-dataviz/pull/38)
+[**Fix filtering module #38**](https://github.com/cc-archive/cccatalog-dataviz/pull/38)
 - Optimizes the build-dB-script to run efficiently on the larger and newer dataset of the cc-catalog.
 - Added the basic form of the randomized graph filtering method.
 - Refer to [this blog](/blog/entries/linked-commons-data-update/) for a piece of detailed information on data update.
 
 
-[**Database upgrade and core enhancements #39**](https://github.com/creativecommons/cccatalog-dataviz/pull/39)
+[**Database upgrade and core enhancements #39**](https://github.com/cc-archive/cccatalog-dataviz/pull/39)
 - It upgrades the primary database from shelve to MongoDB for higher performance.
 - Dockerizes the frontend and backend for both dev and prod environments for higher application portability.
 
 
-[**Frontend enhancements #40**](https://github.com/creativecommons/cccatalog-dataviz/pull/40)
+[**Frontend enhancements #40**](https://github.com/cc-archive/cccatalog-dataviz/pull/40)
 - Fixes common UI bugs, updates the frontend design and enhances the mobile and smaller devices experience with the linked commons
 - Modularizes and updates the code documentation
 

content/blog/entries/linked-commons-whats-new/contents.lr

@@ -72,4 +72,4 @@ In the next two weeks, I will be working on the following features.
 * Update the visualization with a more recent and bigger dataset
 
 ## Conclusion
-Overall, it was fantastic and rejuvenating experience working on these tasks. Now that you have read this blog till the end, I hope that you enjoyed it. For more information visit our [Github repo](https://github.com/creativecommons/cccatalog-dataviz/). We are looking forward to hearing from you on linked commons. Our [slack](https://creativecommons.slack.com/channels/cc-dev-cc-catalog-viz) doors are always open to you, see you there. :)
+Overall, it was fantastic and rejuvenating experience working on these tasks. Now that you have read this blog till the end, I hope that you enjoyed it. For more information visit our [Github repo](https://github.com/cc-archive/cccatalog-dataviz/). We are looking forward to hearing from you on linked commons. Our [slack](https://creativecommons.slack.com/channels/cc-dev-cc-catalog-viz) doors are always open to you, see you there. :)

content/blog/entries/meet-gsoc-2019-students/contents.lr

@@ -94,7 +94,7 @@ summer. Here they are!
       the most content, which CC licenses are used the most, and much more. 
       She will be mentored by our Data Engineer <a href="https://creativecommons.org/author/sclachar/">Sophine Clachar</a> with backup from Breno Ferreira.</p>
 
-      <p>You can follow the progress of this project through the <a href="https://github.com/creativecommons/cccatalog-dataviz">GitHub repo</a> or on the <code>#gsoc-cc-catalog-viz</code> channel on our <a href="https://creativecommons.github.io/community/">Slack community</a>.</p>
+      <p>You can follow the progress of this project through the <a href="https://github.com/cc-archive/cccatalog-dataviz">GitHub repo</a> or on the <code>#gsoc-cc-catalog-viz</code> channel on our <a href="https://creativecommons.github.io/community/">Slack community</a>.</p>
     </div>
     <div class="col pt-3">
       <img src="maria.jpg" alt="María Belén Guaranda Cabezas" /><br />