everything that's needed is in the document. I need an ipynb file and a power point presentation with the story and also notes of insights.
1. The context for the Story Telling Challenge is the Household Pulse Survey (HPS) undertaken by the U.S. census bureau during the coronavirus pandemic. HPS was executed in multiple phases and U.S. households were surveyed to unearth the social and economic impacts of the coronavirus pandemic. Publicly available data files contain individual (household) responses to survey questions and are available on a weekly basis from the survey website. · Students can utilize the CSV version of the weekly public use files posted here. Each CSV version of the data is a zip file (e.g., “HPS week 1 PUF CSV”) that contains the following files: · Data dictionary, which is an Excel spreadsheet with survey questions and explanations (e.g., “pulse2020_data.dictionary_CSV_01.xlsx”) · Weekly household pulse survey data (e.g., “pulse2020_puf_01.csv”) · Data about survey replicate weights (e.g., “pulse2020_repwgt_puf_01.csv”) which is used to convey information about sample design. For the purposes of the Analytics Challenge project, students can ignore this file. · Since weekly data is available from multiple phases and U.S. States, a wide range of storytelling options are possible (e.g., using specific subsample of data such as Pennsylvania data only, cross-sectional approach of using only a specific time period, longitudinal comparisons across time periods and regions). Depending on their analysis goals and storytelling intent, students are welcome to construct (i.e., select, aggregate, and collate) their own sample utilizing the above-referenced publicly available HPS files. As desired, students are also permitted to augment the HPS data with any other relevant data of their choice. · The HPS survey data is widely used in both academic and industry research, and relevant published articles can be researched through our library and other search engines like Google Scholar. 2. Develop an interesting investigative theme for your data-driven story. 3. Preprocess data and examine the patterns in the data that support your planned narrative. Typically, students will have to iterate steps 2 and 3 a couple of times before finalizing their data-driven story. 4. Briefly explain your narrative in your notebook (bullet points would do). 5. Illustrate your narrative by developing appropriate visualizations in your notebook. · A good organization of your notebook and easy readability are important. Provide helpful explanations in text cells/Markdown format. 6. Create a five-minute video for presenting your data exploration story. · Any recording tool for your video is fine (e.g., Panopto+Powerpoint, Zoom self-recording) · You can host your video file on Panopto or any other accessible cloud storage. 7. Submit your notebook and/or Colab link (with permissions for "anyone with link") along with a video file or link to your five-minute video. PS: Please provide ipynb file (collab notebook preferred) and a power point presentation(with insights and notes for storytelling) Rubric Five-Minute Storytelling Challenge Five-Minute Storytelling Challenge Criteria Ratings Pts This criterion is linked to a Learning OutcomePersuasiveness in Storytelling (Aristotle's Criteria) Ethos, Logos, Pathos, Metaphor, and Compact; motivation, clarity, communication, and engagement in video 6.5 to >5.0 pts Exemplary 5 to >3.5 pts Competent 3.5 to >2.5 pts Adequate 2.5 to >0 pts Inadequate 6.5 pts This criterion is linked to a Learning OutcomeData visualization and creative representation of insights 6.5 to >5.0 pts Exemplary 5 to >3.5 pts Competent 3.5 to >2.5 pts Adequate 2.5 to >0 pts Inadequate 6.5 pts This criterion is linked to a Learning OutcomeRigor and thoroughness of data analysis 3 to >2.5 pts Exemplary 2.5 to >1.5 pts Competent 1.5 to >0.5 pts Adequate 0.5 to >0 pts Inadequate 3 pts This criterion is linked to a Learning OutcomeLevel of challenge in project 3 to >2.5 pts Exemplary 2.5 to >1.5 pts Competent 1.5 to >0.5 pts Adequate 0.5 to >0 pts Inadequate 3 pts This criterion is linked to a Learning OutcomeJupyter/Colab Notebook organization 1 pts Exemplary 0.5 pts Competent 0.25 pts Adequate 0 pts Inadequate 1 pts Total Points: 20