CSIT359:553_project1_TablularVisualizationCSIT 359/553 Exploratory Data Analysis and Visualization Project 1: Tabular Data Visualization Instructions: In the project, you need to prepare an...

Project is in the pdf. It is asking to clean and visualize data with data cleaning it’s all in the pdf I’ll send the data set i can’t submit it here


CSIT359:553_project1_TablularVisualization CSIT 359/553 Exploratory Data Analysis and Visualization Project 1: Tabular Data Visualization Instructions: In the project, you need to prepare an idea and a data set from real world. Convert them to Pandas and apply multiple techniques for data analysis. Group work: Both individual and group work are allowed in this project. Each group can include at most 3 students. All the names of group members should be indicated in the project design report. About the data set: You could find the data by your self or select from the following resources: Don’ts • Don’t use a standard machine learning dataset (Kaggle, UCI ML Repository). These are pre-processed and only suitable for analysis, not for the whole DS process • Don’t pick a dataset where structured data is hard to extract, E.g., • text-only, relying on advanced NLP, • extracting data from collection of PDFs, • running your own survey (it’s hard to run a good survey) Project Requirements The project MUST includes the following techniques: 1. Exploratory Data Analysis Stanford Large Network Dataset Collection https://snap.stanford.edu/data/ Dataverse Network https://dataverse.org/ Reddit Open Data https://www.reddit.com/r/opendata/ CDC Data https://www.cdc.gov/nchs/tools/index.htm? CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fnc hs%2Fdata_access%2Fdata_tools.htm World Bank Catalog https://datacatalog.worldbank.org/ Metor Boston Data Common https://datacommon.mapc.org/ COVID-19 Data Repository by Johns Hopkins University https://github.com/CSSEGISandData/COVID-19 Page of 1 3 https://snap.stanford.edu/data/ https://dataverse.org/ https://www.reddit.com/r/opendata/ https://www.cdc.gov/nchs/tools/index.htm?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fnchs%2Fdata_access%2Fdata_tools.htm https://datacatalog.worldbank.org/ https://datacommon.mapc.org/ https://github.com/CSSEGISandData/COVID-19 • Data Loading • Data Cleaning • Data Analysis using Descriptive Statistics • Select at least one of the following techniques in data manipulating: • Data Wrangling • Data Aggregation • Time Series 2. Data Visualization • Visualization Design • At least three different designs are required in your project • You need to implement your visualization in Python • Description of Data Visualization Design • Describe the questions your visualization is designed to answer. • Describe the visualization you created and how its design evolved. (What marks and channels are used?) • Describe how the visualization can be used to answer the questions. Presentation Requirements A presentation for each team is required. Each team will get approx. 10 min for presentation. Please plan your talk accordingly. Slides are required during the presentation with the following contents: • The description of the project, including the project objectives and the description of the data set - should be with reference to the data • Description of the exploratory data analysis • Data visualization, including the plots and the description of the design • Live demo/ demo snapshots of execution of your program • Conclusion from your observation Project Submission A final submission should include all the source code, data set and slides for the presentation. Page of 2 3 CSIT 359/553: Exploratory of Data Analysis and Visualization Rubric of Project 1 Project Title: Student Names: Points out of Total 1. Exploratory Data Analysis __________/ 10 a. Data Loading (2 points) _____ b. Data Cleaning (3 points) _____ c. Data Analysis using descriptive statistics (2 points) _____ d. Other techniques in data manipulating (3 points) _____ 2. Data Visualization __________/ 20 a. Three different design of data visualization in Python (15 points) _____ b. Description of the design (5 points) _____ 3. Live demo / demo snapshots of execution __________/ 10 a. The program can be executed successfully (6 points) _____ b. Students can answer the questions about the source code (4 points) _____ 3. Project Presentation __________/ 10 a. Presenters are well-prepared (2 points) _____ b. Slides should present material in an informative manner (2 points) _____ c. Presentation is logically organized and presenters appear to be fluid (2 points) _____ d. There is a balance between high-level motivational material & technical detail (2 points) _____ e. Presenters should respond well to questions and critique (2 points) _____ Total Score __________/ 50 Graders Comments: Page of 3 3