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X-y charts

To facilitate an overview of the characteristics of the individual models, a presentation as an X-Y chart has been chosen, which allows to show all the properties at a glance. On the Y-axis the processes are drawn, their location is visible on the X-axis. The processes are also indicated by symbols. The supplier (or supply, "S"), the user (or use "U") and the waste manager (or waste disposal "W") are indicated on both axes pointing out where which activity takes place. Colours indicate the ownership of the substance and the plant in the various phases. The colour of the symbol area denotes the owner of the substance, the colour of the symbol frame indicates the owner of the plant. Finally, a coloured dot in the symbol shows who operates the plant. The arrows between the symbols indicate the movement from one location to another while an eventual outer frame around the symbols shows the possibility of bundling plants at one single location (Fig. 1). [Pg.226]

Once the ruthenium or osmium arene organometallic complex is activated with the formation of the aqua species, [Ru/Os(r 6-arene)(OH2)(X)(Y)] (Chart 3), the metal becomes a potential centre for nucleophilic attack by biomolecules. The binding of Run/Osn arene complexes to nucleobases is of special interest, since DNA could be the ultimate target for this class of organometallic complexes. A number of studies have confirmed this postulate [86, 87] and investigated in detail such interactions [53, 54, 72, 88-93]. DNA interactions of Ru and Os arene complexes have recently been reviewed [94],... [Pg.32]

As described in Chapter 5, the Data Labels tab in the Format Data Series dialog box allows you to add data labels to a chart (to each data point in an X Y chart, or to each column in a column chart, for example). But only the x values or the y values can be used as labels. You d probably like to use some other text as data labels. You can do this manually, by adding the data labels, then manually editing each one to enter the text you want. A macro will make the task much easier. [Pg.295]

MATLAB offers many choices when it comes to creatii charts. For example, you can create x-y diarts, column charts (or histograms), contour, or surface plots. As we mentioned in Chapter 14, as an ei ineering student, and later as a practicing engineer, most of the charts that you will create will be x-y type diarts. Therefore, we will explain in detail how to create an x—y chart. [Pg.438]

Saab et al. [92, 93] developed a doctor-blade spreading technique for preparing the catalyst layers in a faster and highly reproducible fashion. The ink was coated onto laser jet transparency material wifli a doctor blade device driven by an X-Y chart recorder time base. The chart recorder time base is a highly accurate mechanical drive with a broad range of selectable speeds (20-0.05 cm/s), which is useful when compensating for liquids of varying viscosity. Machined aluminum... [Pg.1023]

The stage is now set to discuss fragility functions. A fragility function expresses the probability that an undesirable event will occur as a function of the value of some (potentially uncertain) environmental excitation. Let X denote the excitation. A fragility function is usually shown on an x-y chart with probability on the y-axis (bounded by 0 and 1) and excitation X on the x-axis (usually bounded below by 0 and above by infinity). (The variable X is used more than once in this entry. It may have different meanings in different places.)... [Pg.236]

Seismic hazard is quantified many ways. One is through a hazard curve, commonly depicted on an x-y chart where the x-axis measures shaking intensity at a site and the y-axis measures either exceedance probability in a specified period of time or exceedance rate in events per unit time. See Fig. 3 for an example Cornell (1968) applied the theorem of total probability to create a hazard curve. What follows here is a summary of current procedures to perform probabilistic seismic hazard analysis (PSHA), but is conceptually identical to Cornell s work. [Pg.245]

Empath is a Cabinet database of metabolic pathways that models a metabolic pathway chart. It initially models the Boehringer Mannheim wall chart [35] but other pathway layouts are possible. It currently includes 1462 steps (metabolic reactions). The Empath database consists of more than 8000 live objects. Every object has an exact geometric location, that is, x, y coordinate, which is optionally indicated by visible hotspots. The chart is clickable everywhere and the image recenters itself around the selected point. The current object is the one closest to the center of the image and is identified by a bull s eye. A summary of the object is given (e.g., its structure, EC number, SMILES, reaction stoichiometry, etc.). Empath provides navigational features such as zoom in/out, wider, thinner, taller and shorter. [Pg.253]

The simplest way to obtain a record of TSC is a multiple-pen chart recorder that displays as a function of time a(T) and temperature. X-Y recorders are convenient for this purpose. They may serve to directly plot a(T) versus T. If initial rise techniques are used for the measurement of thermal ionization energies, a In [a(T)] versus MT plot is suitable. [Pg.18]

Comparison of Alignment Charts and Cartesian Graphs. There are typically fewer lines on an alignment chart as compared to Cartesian plots. This reduces error introduced by interpolation and inconsistency between scales. For example, to find a point x,j) on a Cartesian graph one draws two lines, one perpendicular to each axis, and these reference lines intersect at the point (x,y). This point (x,y) may correspond to some finite value found by reading a contour map represented by a family of curves corresponding to different values of the function. [Pg.246]

The advantage of the following methods of graphical representation is the clear and simple presentation of the essential facts. Simple charts, like bar charts, x-y scatter diagrams or pie diagrams, which are also available in 3D-form are also suited to visual representation of data. They are not described because this section is devoted to treatment of multivariate data. Graphs for control charts, particulary for quality assurance and control, can be found in [FUNK et al., 1992 AQS, 1991]. [Pg.140]

Solid state NMR indicates the third type structure of Chart 2, when R = Me, X = Y = f-BuCOO. [Pg.434]

The most common graphic displays of interval and ratio information are X-Y plots, where distance in the display corresponds to distance on the relevant property or properties. Musical notation is a specialized interval scale that makes use of a limited visual alphabet corresponding to modes of execution of notes as well as a spatial scale corresponding to pitch. Finally, for displaying ratio information, pie charts can be useful,... [Pg.95]

Fig. 5.15. Chart of symmetry regimes in the x, y plane of the symplectic kicked rotor for r = 0. Well developed symmetry regions (plateaus) are separated by transition regions (ridges). (Prom Thaha and Bliimel (1994).)... Fig. 5.15. Chart of symmetry regimes in the x, y plane of the symplectic kicked rotor for r = 0. Well developed symmetry regions (plateaus) are separated by transition regions (ridges). (Prom Thaha and Bliimel (1994).)...
Fig. IL Plots of current versus time and versus potential for the same data obtained in cyclic voltammetry, recorded (a) on a strip-chart recorder and (b) on an X-Y recorder. Fig. IL Plots of current versus time and versus potential for the same data obtained in cyclic voltammetry, recorded (a) on a strip-chart recorder and (b) on an X-Y recorder.
We have developed a curve and we had to run five experiments to do this. Suppose our problem involved three variables x, y, and z. In order to determine how they relate to each other, we would have to repeat our experiments of five shots for each of five values of z, thus conducting 25 experiments and developing a chart of data curves as shown in Figure 26.5. [Pg.377]

If our problem involved 4 variables, then we would have to repeat our chart five times in order to relate x, y, and z to the fourth variable w, thus developing a... [Pg.377]

To plot two sets of x, y data on a single chart, use the data layout shown in Figure 5-5. [Pg.111]


See other pages where X-y charts is mentioned: [Pg.246]    [Pg.1715]    [Pg.113]    [Pg.246]    [Pg.1715]    [Pg.113]    [Pg.246]    [Pg.8]    [Pg.152]    [Pg.199]    [Pg.386]    [Pg.204]    [Pg.290]    [Pg.1760]    [Pg.377]    [Pg.53]    [Pg.246]    [Pg.434]    [Pg.26]    [Pg.449]    [Pg.190]    [Pg.83]    [Pg.100]    [Pg.101]    [Pg.47]    [Pg.607]    [Pg.82]    [Pg.390]    [Pg.147]    [Pg.310]   
See also in sourсe #XX -- [ Pg.438 , Pg.439 , Pg.440 ]




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Plotting Two Different Sets of X and Y Values in the Same Chart

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