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ECON 0150 - Economic Data Analysis | Part 1.4 | Panel Data Exercise 1.4 pt.1 (in-class): [ ] Loading transactions by coffee shop through time [ ] Pivot tables in Excel [ ] Multi-linegraphs using pivot tables [ ] Summary tables in python [ ] Multi-linegraphs from summary tables in python [ ] Multi-linegraphs directly using Seaborne This clip is taken from a livestream of my Econ 0150 class at the University of Pittsburgh during the Fall 2025 semester. This course introduces the basic ideas and skills in exploratory data analysis and visualization, statistical thinking, building general linear models (regression), and communicating with data. This course is designed as a student's first exposure to working with data and building statistical models with a statistics prerequisite. The course organized in six Parts. Part 1: Exploratory data analysis Part 2: Data operations Part 3: Core statistical ideas Part 4: Basic general linear model (regression) Part 5: Intermediate general linear model Part 6: Communicating with data Each Part contains multiple Sub-Parts. In each Sub-Part: Concepts introduce new ideas Exercises practice new ideas in class Homework practices ideas outside of class MiniExams test mastery on paper in class at the end of each Part. Course website: tayweid.github.io/econ-0150/econ-0150 Instructor: Dr. Taylor Weidman, Department of Economics, University of Pittsburgh