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2.   Use the following information to tell a data story about literacy rates and smartphone usage in India:



























                    3.   Imagine you are working in the Meteorological department of city A and have to present the
                         data on rainfall received in the city from 1955 to 2021. On the key findings slide, you have a
                         visual explaining the average rainfall received during each year from 1955 to 2020 using a line
                         chart. Consider the following:
                         Story A:  The  average  rainfall  in  city  A  during  the  year  2020  was  3,475  mm.  The  city  saw  a
                         decreasing trend in the average rainfall received from the years 2010 to 2011. In 2020, it was the
                         heaviest rainfall in city A after 1954 when the average rainfall for the city was 3,452 mm.
                         Story B: City A received the heaviest rainfall in 2020 after 1954. In 2020, the average rainfall was
                         3,475 mm. This was a tremendous jump from 1955 when the city received 3,452 mm of rainfall. The
                         city also saw a decreasing trend in the average rainfall received from the years 2010 to 2011.
                         Among these two stories, which is more memorable, persuasive, and engaging? Give reasons.

                    4.   Read the following stories and answer the given questions:
                         •   https://storyweaver.org.in/stories/4782-bonda-and-devi

                             i.   Who is Bonda?
                             ii.  Which type of machine learning was shown by Bonda at the end of the story?
                         •   https://storyweaver.org.in/stories/285512-my-sweet-totu
                             i.   Which technology does Totu represent?
                             ii.  Name any one NLP algorithm.
                    5.   Download the ‘MyEarth’ app from Play Store on your mobile phone.
                         The app helps you track your carbon footprint. As you keep reducing your carbon footprints (by saving
                         electricity, water, etc.), the app lets you save a virtual polar bear from drowning! The creators of the app
                         show in a very visual way how small individual actions can positively impact a larger goal. Check out the
                         story shown through numbers!










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