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docs/notebooks/ossr_statistics.ipynb

 %% Cell type:markdown id:6f9a9077 tags:
 
 # OSSR Statistics
 
-%% Cell type:code id:dbb762f7 tags:
+%% Cell type:code id:fff204bf-3164-4844-a13d-e88b6231970a tags:
 
 ``` python
 from eossr.api import get_ossr_records, get_zenodo_records
 from IPython.display import Markdown as md
 from datetime import date
 import itertools
 import matplotlib.pyplot as plt
 ```
 
 %% Cell type:code id:32b381a7-ff5a-4c56-919a-d47ecdbec6bd tags:
 
 ``` python
 plt.style.use('seaborn-v0_8-colorblind')
 ```
 
-%% Cell type:code id:b9668e64 tags:
 
-``` python
-title = f"## OSSR statistics generated the {date.today()}"
-
-ossr_records = get_ossr_records()
-stats_names = ['downloads', 'unique_downloads', 'views', 'unique_views', ]
-sum_stats = {key: sum([int(rec.data['stats'][key]) for rec in ossr_records]) for key in stats_names}
-
-text = f"## There are {len(ossr_records)} records in the OSSR.\n"
-for key, value in sum_stats.items():
-    text+=f"{key.replace('_', ' ')}: {value}\n\n"
-
 ```
 
 %% Cell type:code id:e71a35a5-8afa-466a-a2e6-424ff8d07611 tags:
 
 ``` python
 import matplotlib.pyplot as plt
 from collections import Counter
 from wordcloud import WordCloud
 
 def create_pie_chart(occurrences, ax=None):
     # Get the counts of each occurrence
     counts = Counter(occurrences)
 
     ax = plt.gca() if ax is None else ax
 
     # Create the pie chart
     ax.pie(list(counts.values()), labels=list(counts.keys()), autopct='%1.1f%%', startangle=90)
 
     # Show the chart
     return ax
 
 
 def create_word_cloud(words):
     # Generate a word frequency dictionary
     word_freq = {}
     for word in words:
         word = word.upper()
         word_freq[word] = word_freq.get(word, 0) + 1
 
     # Create a word cloud object
     wordcloud = WordCloud(width=1000, height=600, background_color='white', stopwords=set()).generate_from_frequencies(word_freq)
 
     # Plot the word cloud
     fig = plt.figure(figsize=(10, 6), facecolor=None)
     plt.imshow(wordcloud)
     plt.axis("off")
     plt.tight_layout(pad=0)
     return fig
 ```
 
-%% Cell type:code id:b9992892-a857-46a4-adc9-2a18f2889e35 tags:
+%% Cell type:code id:b9668e64 tags:
 
 ``` python
+title = f"## OSSR statistics generated the {date.today()}\n"
+
+ossr_records = get_ossr_records()
+stats_names = ['downloads', 'unique_downloads', 'views', 'unique_views', ]
+sum_stats = {key: sum([int(rec.data['stats'][key]) for rec in ossr_records]) for key in stats_names}
+
+text = title + "\n" + f"### There are {len(ossr_records)} records in the OSSR.\n"
+
+for n in sum_stats:
+    text += f"| {n.replace('_', ' ')} "
+text += "| \n"
+for n in sum_stats:
+    text += "|----"
+text += "| \n"
+for k, v in sum_stats.items():
+    text += f"| {v} "
+text += "| \n"
 ```
 
 %% Cell type:code id:fe656e0b tags:
 
 ``` python
-md(title)
+md(text)
 ```
 
 %% Cell type:code id:df351e32 tags:
 
 ``` python
-md(text)
 ```
 
 %% Cell type:code id:d0e84058 tags:
 
 ``` python
 escape2020_community_records = get_zenodo_records(communities='escape2020')
 
 url_escape2020_not_ossr = 'https://zenodo.org/communities/escape2020/search?page=1&size=20&q=&type=publication&type=lesson&type=poster'
 text = f"**Note that there are also {len(escape2020_community_records) - len(ossr_records)} records in the `escape2020` community that are not software or datasets.**\n\n"
 text += f"You may find them [directly on Zenodo]({url_escape2020_not_ossr})"
 ```
 
 %% Cell type:code id:a4290b16-8e72-4fbe-96e7-758c3a113fd7 tags:
 
 ``` python
 md("## Distribution of licenses in the OSSR")
 ```
 
 %% Cell type:code id:ab7ff264-055e-4a64-b4b5-968f1e4b38b6 tags:
 
 ``` python
 licenses = [record.metadata['license']['id'] for record in ossr_records]
 
 plt.figure(figsize=(7,7))
 create_pie_chart(licenses);
 ```
 
 %% Cell type:code id:e653506a-64ee-4bd5-8c93-6cfe997d7319 tags:
 
 ``` python
 md("## Cloud of OSSR keywords")
 ```
 
 %% Cell type:code id:7676462b-64a0-49ab-aa59-72945a0a5024 tags:
 
 ``` python
 keywords = [record.metadata['keywords'] for record in ossr_records if 'keywords' in record.metadata]
 keywords = list(itertools.chain(*keywords))
 ```
 
 %% Cell type:code id:750351bd-f043-4f3a-a8e2-0dee8afed6ae tags:
 
 ``` python
-fig = create_word_cloud(keywords)
+create_word_cloud(keywords);
 ```
 
-%% Cell type:code id:8cc6ae00-b2e3-4ee2-ba1c-373ff9cf0d6f tags:
+%% Cell type:code id:12f81935-16e7-4aba-a6a9-474cd2ad081f tags:
 
 ``` python
 ```
 
 %% Cell type:code id:696416cf tags:
 
 ``` python
 md(text)
 ```
 
 %% Cell type:code id:ae5204cf tags:
 
 ``` python
 ```