Bubble chart

Abstract: Highly regulated industries such as pharmaceuticals and agrochemicals face the challenge of maintaining a 0continuous stream of new products. This is difficult because of low probabilities of technical success, high development costs, uncertain market impact, a scarcity of good new product ideas, and limited human and capital resources available to develop them. The problem of evaluating and selecting which new products to develop and then of sequencing or of scheduling them is complicated further by the presence of dependencies between products both in the market place and in the development process itself. This study proposes a portfolio management approach that selects a sequence of projects, which maximizes the expected economic returns at an acceptable level of risk for a given level of resources in a new product development pipeline. A probabilistic network model of distinct activities is used to capture all the activities and resources required in the “process” of developing a new drug. A prioritization scheme suggesting sequences for developing new independent drug candidates with unlimited resources is generated with a conventional bubble chart approach. These sequences initiate a genetic algorithm (GA)-based search for the optimal sequence in the presence of product dependencies and limited resources. By statistically evaluating the sequences generated during the GA search using a discrete event simulation model, it is possible to construct an economic reward-risk frontier that illustrates the trade-offs between expected rewards and risks. The model ideally is suited to answer various “what if” questions relative to changes in the resource level on pipeline performance. The methodology is illustrated with an industrially motivated case study, involving nine interdependent new product candidates targeting three diseases. The dramatic results yield a candidate sequence with an expected return 28 percent higher than the sequence suggested by the bubble chart approach at almost the same level of risk. The synergism among the candidate dependencies, pipeline resources, and economic and technical uncertainties demonstrates the necessity of a computationally intensive approach if the best development strategy is to be realized.

Abstract: A computer implemented sales transaction tool and associated method of use is disclosed. This includes at least one processor configured to receive sales transaction information and programmed to provide the following functionality: a series of control functions that can be selectively activated by input to the processor for creating at least one subset of the sales transaction information, a plurality of graphical representations that are generated based on the selected subset of sales transaction information, and displaying at least one graphical representation of the plurality of graphical representations on an electronic display associated with the processor. Graphical representations of sales transaction information may include a slope and scatter diagram of sales transaction information, a waterfall chart, waterfall transactional analysis, a time series chart, a price sensor, a margin sensor, a break-even analysis graph and a bubble chart. There are graphical representations to evaluate opportunity of moving low margin products to average margins of comparable products and determining value for products having a single customer.

Abstract: Purpose – The purpose of this paper is to provide a scientometric and content analysis of the studies in the field of e‐learning that were published in five Social Science Citation Index (SSCI) journals (Journal of Computer Assisted Learning, Computers & Education, British Journal of Educational Technology, Innovations in Education and Teaching International and Educational Technology Research and Development) and two conferences (Educational Multimedia, Hypermedia & Telecommunications and IEEE International Conference on Advanced Learning Technologies) from 2003 to 2008 to realize hidden research trends using an internally built visualization toolDesign/methodology/approach – The 7,759 original papers gathered from five journals and two conferences were further classified in 14 main research areas based on 150 concepts clusters The internally built visualization tool, which is primarily based on animated bubble chart and pie chart, facilitated the task of analyzing the trends of contributions in the fi

Abstract: The bubble chart is a growth chart that has a vertical layout rather than the more common horizontal one, and bubbles instead of cries-crossing lines. The present project aimed to evaluate knowledg...

Abstract: The invention discloses a deforming statistical map based multi-view spatio-temporal data visualization method and application. Spatio-temporal data having geography and time attributes is visualized by adopting a method of multi-view and multi-tag mixed layout formed by combining a traditional map, a statistical map, time axis and a pie chart, a bar graph, a bubble chart and a Nightingale rose diagram in a statistical chart, and the dissymmetry problem of data distribution and space utilization of a traditional map visualization method and the problem that the attributes of multi-dimensional data display are not comprehensively displayed are avoided. A user can be helped to understand all the aspects of data from multiple perspectives, meanwhile a classic visualized statistic analysis chart, the map time axis and the like are combined, so that data display is specific and vivid. The deforming statistical map based multi-view spatio-temporal data visualization method can be applied to the fields of data visualization of microblogs, WeChat, demographic statistics, infectious disease distribution, elector distribution and the like, and visualization and visual analysis conducted on the data having the time relation of spatial distribution are achieved.