Form of News
3d Data Visualization of News searched in Centre Pompidou Library
from March 13th to March 26th
3d Data Visualization of News searched in Centre Pompidou Library
from March 13th to March 26th
MAT 259, 2018
Weidi Zhang
Concept
What news people are interested most in current information overload society? What is people's habit to read news? what is the form of news aesthetically? This project is a 3d data visualization of the news seached in Centre Pompidou Library from March 13th to March 26th. By visualizing news data through algorithm, an interactive inside-out struture was formed and open to be explored as an informative narrative space.
Query
CSV provided by Centre Pompidou Library and Prof.Legrady
Data Analysis and
preliminary sketches
preliminary sketches
Portion of Raw Data
This is the raw data given by Pompidou Centre Library. Basically it shows 5 di erent kinds of data: They are SEARCH ID, TIMESTAMP, DOMAIN, URL AND TITLE
Some Facts I found from the Raw Data:
1. The timestamp each day is from 6:00 AM – 17:00PM
2. The seached times on each day from March 17th - March 22th is generally evenly distributed. However the number of search time on March 20th is nearly two times of others
3. Many of the domains visitors used are repetitive. Thurs, I found out it will be interesting to include the counts of search times each day, while speci cally emphasize di erent time on each day to see it’s relationship with the content of news being searched.
I deleted session.id column, url column.
Organized data includes: DATE, TIME, DOMAIN,TITLE AND COUNTS
This is the raw data given by Pompidou Centre Library. Basically it shows 5 di erent kinds of data: They are SEARCH ID, TIMESTAMP, DOMAIN, URL AND TITLE
Some Facts I found from the Raw Data:
1. The timestamp each day is from 6:00 AM – 17:00PM
2. The seached times on each day from March 17th - March 22th is generally evenly distributed. However the number of search time on March 20th is nearly two times of others
3. Many of the domains visitors used are repetitive. Thurs, I found out it will be interesting to include the counts of search times each day, while speci cally emphasize di erent time on each day to see it’s relationship with the content of news being searched.
I deleted session.id column, url column.
Organized data includes: DATE, TIME, DOMAIN,TITLE AND COUNTS
Visual Reference
preliminary sketches
preliminary sketches
Visual Inspiration
Background of visual indentity of Centre Pompidou
"THE BUILDING’S MOST FAMOUS STRUCTURAL FEATURE IS ITS “INSIDE-OUT” CONSTRUCTION, WHICH EMPHASIZ- ES THE IDEA OF THE CULTURAL CENTER AS A MACHINE AND PLACES THE MECHANICAL SYSTEMS ON THE EXTE- RIOR, TO KEEP THE INSIDE UNENCUMBERED AND OPEN" https://www.curbed.com/2017/1/23/14365014/centre-pompidou-paris-museum-renzo-piano-richard-rogers
My first experiments with forms
Background of visual indentity of Centre Pompidou
"THE BUILDING’S MOST FAMOUS STRUCTURAL FEATURE IS ITS “INSIDE-OUT” CONSTRUCTION, WHICH EMPHASIZ- ES THE IDEA OF THE CULTURAL CENTER AS A MACHINE AND PLACES THE MECHANICAL SYSTEMS ON THE EXTE- RIOR, TO KEEP THE INSIDE UNENCUMBERED AND OPEN" https://www.curbed.com/2017/1/23/14365014/centre-pompidou-paris-museum-renzo-piano-richard-rogers
My first experiments with forms
Process
Above the middle timeline means Morning Below the middle timeline means Afternoon Transparency is based on NUMBER OF COUNTS Type size is based on NUMBER OF COUNTS Rotation of lines is based on Time Time can be read Vertically on side view, which means the Top points is 6 AM and the Bottom Points is 17 PM
SIDE VIEW | 12 days
TOP VIEW | 12 Days
Final result
VIDEO DOCUMENTATION
EXPLAINATION
EXPLAINATION
Code