Merge pull request creativecommons#177 from monsij/difficulty-filter

Categorize ideas as per page difficulty levels

Author: kgodey

content/internships/project-ideas-collection/catalog-expansion/contents.lr

@@ -10,11 +10,11 @@ The [CC Catalog](https://github.com/creativecommons/cccatalog) gets a huge amoun
 expected_outcome:
 We would like to have a number of completed, well-tested Provider API Scripts written by the end of this internship, and they should be deployed in production.  Deployment in production implies we’d also have Apache Airflow DAGs (Directed Acyclic Graphs) that run the Provider API Scripts on an appropriate schedule.
 ---
-internship_tasks:  
+internship_tasks:
 The intern should write more Provider API Scripts, taking priorities from the backlog linked above.  Such a script must pull image information from a public API provided by the provider, and pass it along to a function that will validate the information, format it as necessary, and write it to disk.  This validation/storage function is already written, so the intern needs only to write a script that knows how to get the relevant data from the public API of the provider.  For examples of what we are expecting from a Provider API Script, see `wikimedia_commons.py` and `flickr.py `in [the repository](https://github.com/creativecommons/cccatalog/tree/master/src/cc_catalog_airflow/dags/provider_api_scripts), as well as their accompanying tests.
 ---
 application_tips:
-Knowledge or experience with pulling real data from public APIs in JSON format would be helpful.  It would also help if the intern is familiar with Python.  
+Knowledge or experience with pulling real data from public APIs in JSON format would be helpful.  It would also help if the intern is familiar with Python.
 ---
 resources:
 *   [CC Catalog code](https://github.com/creativecommons/cccatalog)
@@ -25,4 +25,4 @@ skills_recommended: Python, JSON, Apache Airflow (optional)
 ---
 mentors: Brent Moran, Kriti Godey
 ---
-difficulty: Low
+difficulty: Easy

content/internships/project-ideas-collection/linked-commons/contents.lr

@@ -14,7 +14,7 @@ expected_outcome:
 *   We may also add live updating to the data that backs the visualization.
 *   If these features are completed ahead of schedule, the intern may suggest further features to add to the visualization.
 ---
-internship_tasks:  
+internship_tasks:
 The intern should implement the first feature above, and if there’s time, implement the second.  It may be useful for the intern to assist with setting up live-updating of the data backing the visualization.
 ---
 application_tips:
@@ -31,4 +31,4 @@ skills_recommended: JavaScript, Graph Theory
 ---
 mentors: Brent Moran, María Belén Guaranda Cabezas
 ---
-difficulty: Low
+difficulty: Easy

content/internships/project-ideas-collection/metrics-dashboard/contents.lr

@@ -9,15 +9,15 @@ problem:
 
 While we do keep track of certain user actions in our database, and are able to glean other insights with the use of Google Analytics, we do not have a single dashboard to see relevant information.
 
-This is a problem for two reasons:  
+This is a problem for two reasons:
 *   We have a lack of comprehensive understanding of user behavior, as we have to look in multiple places and pull disparate information to paint a picture of overall user behavior.
 *   Our catalog partners have no way to understand what impact their presence in CC Search is having in terms of discoverability and increased exposure to their collections.
     *   In turn we are unable to tell a story about that impact to potential, future partners.
 ---
 expected_outcome:
 We’d like the outcome to be an analytics interface, of some kind, where all of these metrics are pulled together into one place. The interface should be both aesthetically pleasing and clear to understand, allowing those accessing it to get the pertinent information they need, whether it is by day, week, month, collection, or any other logical grouping.
 ---
-internship_tasks:  
+internship_tasks:
 *   Understand the required data to be displayed as defined by CC HQ
 *   Research analytics dashboards to provide recommendations on additional data that is valuable
 *   Document a cohesive plan for structuring an analytics database storing all pertinent data
@@ -39,4 +39,4 @@ skills_recommended: CSS, design, HTML, Python, PostgreSQL
 ---
 mentors: Alden Page, Anna Tumadóttir
 ---
-difficulty: High
+difficulty: Hard

content/internships/project-ideas-collection/web-monetization/contents.lr

@@ -12,8 +12,8 @@ CC is a non-profit supported by donations from foundations, corporations, and in
 expected_outcome:
 We’d like the outcome of this internship to be a deliverable, in written form, detailing in-depth research regarding the current state of web monetization technology, with recommendations for options for CC. We expect this deliverable to take the form of a CC-licensed research paper, based on which we expect the intern to also write a blog article.
 ---
-internship_tasks:  
-The intern will be expected to create their own detailed work plan, containing activities including but not limited to:  
+internship_tasks:
+The intern will be expected to create their own detailed work plan, containing activities including but not limited to:
 *   preliminary research
 *   user interviews
 *   preparation of an outline
@@ -36,4 +36,4 @@ skills_recommended: Research, Writing. In so far as the work is technical, it is
 ---
 mentors: Anna Tumadóttir, Sarah Pearson
 ---
-difficulty: Low
+difficulty: Easy