PATENT CLAIM ANALYSIS

Application Number: 16450683
Application Type: Utility
Filing Date: 2019-06
Publication Date: 2019-10
Patent Classification: ["345", "592000"]

Abstract:
An opacity engine for automatically and dynamically setting an opacity level for a scatterplot based on a predetermined value for a mean opacity level of utilized pixels (MOUP) in the scatterplot. The opacity engine may automatically set the opacity level for the scatterplot to produce the predetermined MOUP value in the scatterplot. A utilized pixel in the scatterplot comprises a pixel displaying at least one data point representing data. The MOUP value in the scatterplot may be equal to the sum of the final opacity levels of all utilized pixels in the chart, divided by the number of utilized pixels in the chart. The predetermined MOUP value may be between 35%-45%, such as 40%. The opacity engine may adjust the determined opacity level for charts having relatively low over-plotting factors.

Claim (Index 1):
A computer-implemented method, comprising:\n displaying, within a graphical user interface on a display device, a plurality of data points on a scatterplot chart generated by a user interface engine executed by a computer processor; receiving a predetermined value for a mean opacity level of utilized pixels (MOUPs) in the scatterplot chart; determining, by the computer processor, an opacity level setting for the plurality of data points based at least in part on the predetermined value; setting an opacity level for the scatterplot chart to the opacity level setting; and displaying, within the graphical user interface, the plurality of data points on the scatterplot chart at the opacity level.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 100.0
- Lexical Diversity: 2.14925
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14732611', '12736378', '12790560', '14488634', '14386799']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5497999478879373
- 35 USC 102 Novelty (BERT): 0.4895607638095202
- Combined Prediction Score: 0.5437760294800956
- Mean Citation Score: 127.0508892
- Max Citation Score: 254.55269
- Similarity Product: 235.5521246952624

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test