Statens Museum for Kunst’s API (SMK - smk.dk): https://api.smk.dk/api/v1/docs (Links to an external site.) An example of a work of art in the collection: https://collection.smk.dk/#/en/detail/KMS8289...

The question is within the file


Statens Museum for Kunst’s API (SMK - smk.dk): https://api.smk.dk/api/v1/docs (Links to an external site.) An example of a work of art in the collection: https://collection.smk.dk/#/en/detail/KMS8289 (Links to an external site.) 1. Describe why the institution has an API access to their data set, what it has been used for and / or what they think it could be used for? (½ page with references) 2. Compose a URL that searches for the cultural institution's elements (eg objects, works of art, people, newspaper articles, etc.) in the API (preferably 100+ pieces) with output in JSON. Load this URL into a JSON beautifier and describe the content: a. What types of metadata are there for each element? b. Compare metadata with Dublin Core. Is there consistency? c. Are there any figures that can be used for statistical calculations (eg years)? d. Describe what kind of questions could be answered through analysis of this data set? (½ page, preferably with examples) 3. Using Pandas and request, now import your selected dataset. a. Describe and clean the data set. i. What data and data types are there? ii. How many columns and rows? iii. Are there columns you do not need? 4. Now make extracts and descriptive statistical calculations on the data you have selected. Describe what information it can give us about the selected items? 5. Use the value_counts () (https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.value_counts.html (Links to an external site.)) Function to produce a data frame of the selected data, count and percentage. 6. Visualize the selected data with percentage in a graph. Describe your visualization. Also note that you can add Markdown / text nodes to your notebook to answer the text-based questions and explain your code-based answers. You're expected to describe your understanding of what your code is doing.