You may have heard of Clickfunnels before. Whether this is because someone recommended it to you for your business or you have been searching the internet looking for different website builders to use and stumbled upon it. Regardless of how you know about it you may have seen the price, seen the features, and read some reviews about Clickfunnels and you have asked yourself if it is really that great. Don’t worry, we are here to give you a full clickfunnels review so you can compare it to other websites out there and see if it is worth the money. Keep reading to learn more.

 

• Cost
  • The first thing we want to talk about is the cost of Clickfunnels. When you are running a business, it’s important to know the cost of each item you are investing in, what the return on investment is, and how it will positively affect your business. That is why the cost of every business item is so important. The cost of Clickfunnels is $99 per month. This means you can cancel at any time and you are not locked in. You simply pay each month you are utilizing it. Some people may look at $99 per month and see that as a large number. If you were to put a funnel out though, you would need to pay a lot of different things and different people in order for that funnel to work properly. You would need to pay for different websites, coders,

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Sample GraphiC for Fortran Code:

 

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Below is a copy of a simple Fortran program which generates an array of 300 data points and uses GraphiC to create a linear plot.

View the equivalent ‘C’ GraphiC program.

View the equivalent Visual Basic GraphiC program.

View the program output.

*****************************************************************************
*    (c) 1984-1993 by Scientific Endeavors Corporation.
*    All rights reserved.

*    This program plots a single curve on a set of 2-D linear axes. Except for
*    color(), sympick(), and grid(), this simple example program uses only
*    the minimum calls needed to produce a GraphiC plot.
****************************************************************************/


****************************************************************************
*    Main subroutine MUST be called Application
****************************************************************************/
    SUBROUTINE APPLICATION
    USE GRAPHIC

    INTEGER*4 i, nxdiv, nydiv, npts
    PARAMETER( NPTS=301)
    CHARACTER FONT_ID*10, FONT_CHAR*1
    REAL*4 x(npts), y(npts)

    CALL bgnplot(1, 'g', "sample.tkf")  ! Parameters: 1 - draw plot on screen
                                        !      'g' - graphics mode
                                        !"sample.tkf" - .TKF file name
    CALL startplot(WHITE)
    CALL metricunits(0)                        ! Ensure scaling in inch units
    FONT_CHAR = CHAR(CODE1)  ! CODE1 through CODE4 are pre-defined byte chars
    CALL font(1, "simplex.fnt", CODE1 )              ! Loads your chosen font
    CALL page(9.0, 6.884)                                ! Sets the page size
                              ! This is the same aspect ratio as 8191 by 6266
    CALL area2d(7.6, 5.5)                         ! Sets the area of the plot
    DO i = 1, npts                                            ! Generate data
        y(i) = .3 * i
        x(i) = (y(i) * y(i)) / 2.
    END DO

    CALL color(BLACK)                  ! Axis names and heading will be black
    FONT_ID = FONT_CHAR // "X-Axis"
    CALL xname(FONT_ID)
    CALL yname("Y-Axis")
    CALL heading("SAMPLE 

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Current Capabilities of GraphiC:

Since GraphiC is a library you need not limit yourself to the ‘canned’ plot types provided. With the lower level routines included you can design new ways to display your data for maximum impact quite easily. Following is a description of some of the major features included with GraphiC.

GraphiC has the capability of generating many types of plots:

• linear x-y plots
• log-log plots
• linear contour plots
• 3-D curves
• 3-D surfaces
• 3-D bars
• polar plots
• bar charts
• pie charts
• waterfall plots
• plume plots
• Smith charts
• error function plots
• polar contour plots
• wedge plots
• triangle contour plots
• error function plots
• statistical functions
• and more

Below are more detailed descriptions of some of the main features found in GraphiC: Linear and log plots, Curves, Vectors, Smoothing, Panel filling, Contour plots, 3-D Surfaces, Polar plots, Plume plots, Bar charts, Pie charts, Smith charts, Annotation, Fonts, Cross hairs, Output files, Post processing, Printers, plotters, and video cards.
Linear and log plots

• All linear and log plots are self-scaling, but you may also specify your own scales. Axis-crossing points may be specified by the user on linear plots.
• log plots may be to any base and logarithmic axes need not start or end on even decade values.
• An additional linear y axis, with a different scale may be positioned at the right end of the x axis.
• axis labels may

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