Abstract
Basic bar charts have been commonly available, but they only show highly aggregated data. Finding the valuable information hidden in the data is essential to the success of business. We describe a new visualization technique called pixel bar charts, which are derived from regular bar charts. The basic idea of a pixel bar chart is to present all data values directly instead of aggregating them into a few data values. Pixel bar charts provide data distribution and exceptions besides aggregated data. The approach is to represent each data item (e.g. a business transaction) by a single pixel in the bar chart. The attribute of each data item is encoded into the pixel color and can be accessed and drilled down to the detail information as needed. Different color mappings are used to represent multiple attributes. This technique has been prototyped in three business service applications - Business Operation Analysis, Sales Analysis, and Service Level Agreement Analysis at Hewlett Packard Laboratories. Our applications show the wide applicability and usefulness of this new idea.
| Original language | English |
|---|---|
| Pages (from-to) | 117-123 |
| Number of pages | 7 |
| Journal | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 5295 |
| DOIs | |
| Publication status | Published - 2004 |
| Externally published | Yes |
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Keywords
- Business Operation Analysis
- Color Mappings
- Multi-attribute
- Pixel Bar Charts
- Visualization
- Web Service
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering
Cite this
Visual mining business service using pixel bar charts. / Hao, Ming C.; Dayal, Umeshwar; Casati, Fabio.
In: Proceedings of SPIE - The International Society for Optical Engineering, Vol. 5295, 2004, p. 117-123.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Visual mining business service using pixel bar charts
AU - Hao, Ming C.
AU - Dayal, Umeshwar
AU - Casati, Fabio
PY - 2004
Y1 - 2004
N2 - Basic bar charts have been commonly available, but they only show highly aggregated data. Finding the valuable information hidden in the data is essential to the success of business. We describe a new visualization technique called pixel bar charts, which are derived from regular bar charts. The basic idea of a pixel bar chart is to present all data values directly instead of aggregating them into a few data values. Pixel bar charts provide data distribution and exceptions besides aggregated data. The approach is to represent each data item (e.g. a business transaction) by a single pixel in the bar chart. The attribute of each data item is encoded into the pixel color and can be accessed and drilled down to the detail information as needed. Different color mappings are used to represent multiple attributes. This technique has been prototyped in three business service applications - Business Operation Analysis, Sales Analysis, and Service Level Agreement Analysis at Hewlett Packard Laboratories. Our applications show the wide applicability and usefulness of this new idea.
AB - Basic bar charts have been commonly available, but they only show highly aggregated data. Finding the valuable information hidden in the data is essential to the success of business. We describe a new visualization technique called pixel bar charts, which are derived from regular bar charts. The basic idea of a pixel bar chart is to present all data values directly instead of aggregating them into a few data values. Pixel bar charts provide data distribution and exceptions besides aggregated data. The approach is to represent each data item (e.g. a business transaction) by a single pixel in the bar chart. The attribute of each data item is encoded into the pixel color and can be accessed and drilled down to the detail information as needed. Different color mappings are used to represent multiple attributes. This technique has been prototyped in three business service applications - Business Operation Analysis, Sales Analysis, and Service Level Agreement Analysis at Hewlett Packard Laboratories. Our applications show the wide applicability and usefulness of this new idea.
KW - Business Operation Analysis
KW - Color Mappings
KW - Multi-attribute
KW - Pixel Bar Charts
KW - Visualization
KW - Web Service
UR - http://www.scopus.com/inward/record.url?scp=8844244692&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=8844244692&partnerID=8YFLogxK
U2 - 10.1117/12.526933
DO - 10.1117/12.526933
M3 - Article
VL - 5295
SP - 117
EP - 123
JO - Proceedings of SPIE - The International Society for Optical Engineering
JF - Proceedings of SPIE - The International Society for Optical Engineering
SN - 0277-786X
ER -