In this first part of the News App, you will request data from the Top Stories...

 

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In this first part of the News App, you will request data from the Top Stories API. Some examples of API calls: https://api.nytimes.com/svc/topstories/v2/arts.json?api-key-yourkey https://api.nytimes.com/svc/topstories/v2/home.json?api-key-yourkey https://api.nytimes.com/svc/topstories/v2/science.json? api-key-yourkey https://api.nytimes.com/svc/topstories/v2/us.json?api-key-yourkey https://api.nytimes.com/svc/topstories/v2/world.json?api-key=yourkey Nonetheless, each API call shown above is for a specific topic, for example, arts, home, science, US, and world. For our News App, the user will select which topic they want to know more about using a selectbox . I will write the options as a list for you to save you some precious time: Vy ["arts", "automobiles", "books", "business", "fashion", "food", "health", "home", "insider", "magazine", "movies", "nyregion", "opinion", "politics", "realestate", "science", "sports", "sundayreview"," "technology", "theater", "t-magazine", "travel", "upshot", "us", "world"] Moreover, you need to replace the yourkey with the string that is in the api_key.json file. Divide the screen into 2 columns : the first column will contain some picker elements for the user to choose from, and the second column only displays the wordcloud. The users can choose: • the maximum number of words in the wordcloud (between 1 and 200) • the colors used for the words in the wordcloud • the background color of the wordcloud Below these two columns, you need to provide a checkbox that, if clicked, will display a plot of the frequency distribution. Ask the user how many words they want to see in the plot between 1 and 20. Then, provide the frequency distribution for the most common words used in the top stories for the topic selected by the user. Make sure you do not display punctuations and stopwords. Part B - Most Popular Articles In this second part of the News App, you will use another API, the Most Popular Articles API. Instead of asking the user for a topic, here, you will ask the user for their preferred set of articles: shared, emailed or viewed and for the period from when these articles were published, which are the last: 1 day, 7 days or 30 days. Some examples of API calls: https://api.nytimes.com/svc/mostpopular/v2/emailed/7.json? api-key-yourkey https://api.nytimes.com/svc/mostpopular/v2/shared/30.json?api-key=yourkey Again, each API call shown above is for a specific set of articles (emailed and shared) and period of time (7 and 30). These two values should be chosen by the user using a selectbox B.. Following the same process you did in Part A, generate the wordcloud with the customization features and the frequency distribution plot with the most common words. Additional Support To properly display the wordcloud, I recommend one of these different implementations: wordcloud = WordCloud(width=TODO, height=TODO, plt.axis("off") st.pyplot(fig) stopwords=stop_words, max_words=TODO, background_color=TODO, colormap=TODO). generate(TODO) fig, ax = plt. subplots() plt.imshow(wordcloud, interpolation='bilinear') Notice that the TODO keyword above is parts of the code that you need to work on, they will be variables or constant values that you create in your code. In this first part of the News App, you will request data from the Top Stories API. Some examples of API calls: https://api.nytimes.com/svc/topstories/v2/arts.json?api-key-yourkey https://api.nytimes.com/svc/topstories/v2/home.json?api-key-yourkey https://api.nytimes.com/svc/topstories/v2/science.json? api-key-yourkey https://api.nytimes.com/svc/topstories/v2/us.json?api-key-yourkey https://api.nytimes.com/svc/topstories/v2/world.json?api-key=yourkey Nonetheless, each API call shown above is for a specific topic, for example, arts, home, science, US, and world. For our News App, the user will select which topic they want to know more about using a selectbox . I will write the options as a list for you to save you some precious time: Vy ["arts", "automobiles", "books", "business", "fashion", "food", "health", "home", "insider", "magazine", "movies", "nyregion", "opinion", "politics", "realestate", "science", "sports", "sundayreview"," "technology", "theater", "t-magazine", "travel", "upshot", "us", "world"] Moreover, you need to replace the yourkey with the string that is in the api_key.json file. Divide the screen into 2 columns : the first column will contain some picker elements for the user to choose from, and the second column only displays the wordcloud. The users can choose: • the maximum number of words in the wordcloud (between 1 and 200) • the colors used for the words in the wordcloud • the background color of the wordcloud Below these two columns, you need to provide a checkbox that, if clicked, will display a plot of the frequency distribution. Ask the user how many words they want to see in the plot between 1 and 20. Then, provide the frequency distribution for the most common words used in the top stories for the topic selected by the user. Make sure you do not display punctuations and stopwords. Part B - Most Popular Articles In this second part of the News App, you will use another API, the Most Popular Articles API. Instead of asking the user for a topic, here, you will ask the user for their preferred set of articles: shared, emailed or viewed and for the period from when these articles were published, which are the last: 1 day, 7 days or 30 days. Some examples of API calls: https://api.nytimes.com/svc/mostpopular/v2/emailed/7.json? api-key-yourkey https://api.nytimes.com/svc/mostpopular/v2/shared/30.json?api-key=yourkey Again, each API call shown above is for a specific set of articles (emailed and shared) and period of time (7 and 30). These two values should be chosen by the user using a selectbox B.. Following the same process you did in Part A, generate the wordcloud with the customization features and the frequency distribution plot with the most common words. Additional Support To properly display the wordcloud, I recommend one of these different implementations: wordcloud = WordCloud(width=TODO, height=TODO, plt.axis("off") st.pyplot(fig) stopwords=stop_words, max_words=TODO, background_color=TODO, colormap=TODO). generate(TODO) fig, ax = plt. subplots() plt.imshow(wordcloud, interpolation='bilinear') Notice that the TODO keyword above is parts of the code that you need to work on, they will be variables or constant values that you create in your code.