OUTLINE What are we going to do with the data? What are we going to do? What are we going to do? Two-dimension table 1.Analyze data from a US based non-profit organization website that visualize allows individuals to donate money directly to public school ; Graph,i.e line chart,bar What are we going to do with the data? Problem-Driven Design Studies chart,pie chart…… 2.Get the dataset and take a 9000-row table subset of the original dataset --Money Donation to Public for our analysis purposes; School Understand the data better Why do we need visualization? 3. Create an informative analysis on the basis of the data attributes; 1.What is the trend of number of 4.Visualize the data in an efficient and expressive way. donations in recent years?Do we What data do we abstract? need more donations or the astract key data status quo is just what we want? types A large two- human-visualized Purpose: Analyze the data How to visualize the data? dimension data graphs 2.Which state shall we pay more better and give appropriate table attention to? reduce complexity into suggestions on public simplicity by counting donation Components of our analysis and function By Huaying Tian & Arthur Sun data types What data do we abstract? How to visualize the data? Why do we need visualization? Data Visualization: Data types: Through a problem-driven process, these specialized datasets are drop-down menu school state 1. school_state: NY,NC or…… often an interesting mix of complex combinations of and special line chart date_posted range 2. resource_type ： books ,technologies,or…… you can choose cases of the basic data types,and they also are a mix of original and any range you like 3. poverty_level: Highest poverty ,low poverty or…… to see the resource types derived data. attributes you're 4. date_posted: day,month,year horizontal bar chart intersted in donation counted by poverty level Whitout vis, we may see a table like that: 5. total_donations: how much donations they've received donation counted by grade 6. funding_status: completed or expired But by using visualization,People can have a funding status pie chart clear overview at first with low-latency 7. grade_level 9-12,5-8 or …… page loading of data,and then zoom and What a great mass! filter to check the details they demand The components of our analysis and their function About the Data Students Migration 1.D3.js: A javascript based visualization engine which will render interactive charts and graphs based on the data. § Educational Census (public available, per year) School code School name Elementary and Secondary School type (private/public) 2.Node JS: Our powerful server which serves data to the visualization engine School location (Latitude, Longitude, Postal Code, City, District) Thanks and also hosts the webpages and javascript libraries. Schools in São Paulo/Brazil Census Year Student Code Student Grade 3.Mongo DB: The resident No-SQL database which will serve as a fantastic • Data size (per census year, we need at least two) data repository for our project. Carolina Roman Amigo & Wenqiang (Dylan) Dong 7.789.831 Students 20.029 Schools CPSC 547 – Information Visualization Challenge ~ 650 MB October 2015 Context Stakeholders T1 - Tasks for Schools T2 - Tasks for Government • Help schools identify migration pattern of • Are there any areas of the state § In Brazil, elementary and secondary public education students. receiving more students than others? Schools generally has poor quality. Are they losing more students than gaining? • Are students migrating from public to § Every parent that can afford a private school does it, thus we To which schools are they going? have a huge number of private schools competing for students. private schools? Is there any particular grade in which § They run like businesses, so understanding their market share migration is more intense? Data is relevant for them. How their students migration compares to § There is an standardized test for being accepted at the best the other schools? universities, and some private schools specialize in training students for that; so when getting to high school some students Government Students opt for migrating to this kind of schools.
VISUALIZATION OF YOUTUBE T1 - Help schools identify migration pattern of students T2 - Which areas of the state are receiving more students? Thank you! COMMENTS Carolina Roman Amigo carolamigo@gmail.com Wenqiang (Dylan) Dong wdong@cs.ubc.ca • Doesn’t support easy finding of entertaining • Doesn’t support easy finding of entertaining • Entertaining comments = highly liked comments comments. comments. (generally) Task 1: Explore for entertaining comments. • Emotionally draining arguments and trolls. • Emotionally draining arguments and trolls. Task 2: Identify arguments. Task 3: Identify trolls. Idea: A Bird’s Eye View of the Youtube Comment Section • Arguments = Long back-and-forth between • Trolls = A single user (with little or no likes) Neuron electrophysiology data two users with little or no likes being bombarded by multiple users visualization (Neuroelectro) Presented by: Dmitry, Emily and Mike How does your brain work? It’s complicated How does your brain work? It’s complicated What is our data? Electrophysiology is the study of the electrical properties of biological cells and tissues. In neuroscience, it includes measurements of the electrical activity of neurons, and particularly action potential activity. Introduction -wikipedia Dmitri askabiologist.asu.edu https://www.youtube.com/watch?v=u28ijlP6L6M https://www.youtube.com/watch?v=u28ijlP6L6M courses.candelalearning.com
What is our data? What is our data? What is our data? How many neuron types are there? The debate has been ongoing for decades. We use enhanced Experimental metadata - solutions used, temperature, electrode types, animal species, strain and age, etc. NeuroLex.org definitions (~100 Neuron types) Current State To summarize we have (per article): 1) Electrophysiology properties Mike 2) Neuron types 3) Experimental metadata We extract all of the above from published articles through text-mining and curation. www.leica-microsystems.com http://www.anatomyzone.com Problem Characterization Task Analysis Problem Characterization ● We met with our stakeholder to ascertain high-level questions: ● Discover relationships ○ What do cells in different parts of the brain do? ○ Neuron types (categorical) ○ How do experimental conditions affect electrophysiological measurements? ○ Electrophysiological properties (quantitative) ○ etc. ○ Experimental conditions (quantitative and categorical) ● We refined these into a few abstract tasks... ● Narrow scope of analysis Emily ○ Select experimental conditions and ephys properties to include ○ Filter by neuron type, ephys property, and experimental conditions
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