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Alert: An English language version of the trial will be downloaded, or choose from the list of available languages on the free trial page. Enhance the look of visualizations by simulating the behavior of camera lens effects like Bloom and Depth of Field right within the Showcase viewport. Faster frame rates deliver better performance when presenting cross sections and turntable animations, and swapping 3D environments. Stack Overflow is a community of 4.7 million programmers, just like you, helping each other. How do I embed source code or HTML in Open Office Org Presentations without using screenshots?
I need to write a lot of class courses presentations to my programming class, and I constantly need to show source code (mainly C code).
What I use to do is a snapshot if the code is small, or to stop presentation and open Kate in the datashow if it is too big. Having HTML doesn't help, because I can't find a easy way to insert HTML into a presentation either. To insert a RTF text to presentation LibreOffice you can use menu insert, file, and rtf (or HTML). There are a bunch of tools that make it easy to create presentations which are specific to programming (code snippets etc.) but as far as I know, none are WYSIWYG. I had the same problem but for Java and finally I found a native solution using Python macro which is tested in LibreOffice 5.
If you are familiar with LaTeX, you should consider using beamer to create your presentation. You can easly use a table with 1 line and 1 column, copy and past your code from your favorit IDE, open office will preserve your code style. In Open Office Impress ("Presentation") with a slide open, click the box labelled "T" on the lower tool bar (or push F2).
You might consider cutting and pasting from JavaDoc or Doxygen output; you are likely to get the formatting data along with the text. As the number of people using quantitative methods to study "cultural data" is gradually increasing (right now these people work in a few areas which do not interact: digital humanities, empirical film studies, computers and art history, computational social science), it is important to ask: what is statistics, and what does it mean to use statistical methods to study culture?
Without the reference to mathematics, this description looks very friendly - there is nothing here which directly calls for positivism, or scientific method. But of course this is not enough to argue that statistics and humanities are compatible projects. Examples of descriptive statistics are mean (the measure of central tendency) and standard deviation (the measure of dispersion).
Application of descriptive statistics does not have to be followed by inferential statistics. Accordingly, the current explanation of descriptive statistics on Wikipedia includes both numbers and graphs: "Descriptive statistics provides simple summaries about the sample and about the observations that have been made. What we get from this is that we don't have to do statistics with numbers - visualizations are equally valid.


Francis Galton’s first correlation diagram, showing the relation between head circumference and height, 1886. For example, we can summarize a text with numbers such as the average sentence length, the proportion between nouns and verbs, and so on.
In the previous examples, the algoritms extracted some words or phrases from a text and organized them visually - therefore it possible to argue that they still belong to graph method of descriptive statistics. In my lab, we have been developing free software tools for summarizing large image and video collections. To summarize a complex image we can translate it into a monochrome version that only shows the key shapes. There is nothing "positivist" or "scientific" about such same-media summaries, because they are what humanities and the arts have always been about. Until development of statistics in the 19th century, all kinds of summaries were produced manually. I don't think that we can find some hard definite threshold which will separate summaries which can only be produced by algorithms (because of the data size) from the ones produced by humans. I don't know if my arguments will help us when we are criticized by people who keep insisting on a wrong chain of substitutions: digital humanities=statistics=science=bad.
Quickly transform 3D CAD models into interactive walk-throughs and presentations, so that you can evaluate aesthetic and design alternatives in real time with peers, constituents, and customers. If you are from another country, you will still need to click to agree to the notice, but the program will not apply to you. This helps us to improve them, and to provide you with more useful and personalized information about our products and services. This cookie will help us understand your activity on our website (for example, if you view certain pages, view a webcast, or participate in a discussion forum). So I installed QSource-Highlight that easily convert C code to HTML (also gnu source-highlight, code2html, and so on). My almost-solution is to copy the code as HTML in Kate and paste it into a temporary Open Office Writer document. Then click on the slide roughly where you want the the text, and drag to make the box about the right size. Since the 1970, computers gradually made the use of graphs for studying the data (as opposed to only illustrating the findings) equally important. Source: Michael Friendly and Daniel Danis, The Early Origins and Development of the Scatterplot.
We can also use graphs: for example, a bar chart that shows frequency of all words used in the text in ascending order. It summarizes a text by showing us most frequently used words that are scaled in size according to how often they are used. In some of our applications, the whole collection is translated into a single high-resolution visualization (so these are not summaries) but in others, a sample of an image set, or parts of the images are used as the summaries.
For example, modernity and industrialization were often summarized by images of planes, cars, gear, workers, and so on. Art images always summarized visible or imaginary reality by representing only some essential details (like contours) and omitting others. Statistics "industrializes" this process, substituting subjective summarization by the objective and standardized measures. Examples of such summaries are a number representing the average number of words per sentence in a text which has tens of thousands of sentences, or the graph showing relative frequencies of all the words appearing in a long text.
In the 1970s, without the use of any computers, French film theorists advanced the idea that most classical Hollywood films follow a single narrative formula. But if we keep explaining that statistics is not only about inferences and numbers, gradually we will be misunderstood less often.


I will address their assumptions, their use in industry, and how in digital humanities we may use them differently in a future article).
We will use the information we have collected about your trial product usage and website activity, and other information you might share with us, to help us decide what information will be most relevant and interesting to you. None of them can convert source code to a version of a highlighted RTF (rich text format), that would be another way to go.
It needs to convert c code to HTML using an specific windows program that has an option to copy the HTML as RTF, after that you need to past the RTF in Word or Wordpad, and after that you special past RTF to PowerPoint.
Now, the HighLight, installed directly from 'synaptic' (or apt-get if you will), works as a charm! That converts it to Open Office's own styled text format, and from there you can copy and paste it into Impress. This graph was a paet of many early statistical studies of Quetelet which led him to formulate a theory of "average man" (1835) which states that many measurements of human traits follow a normal curve. Descriptive statistics is only concerned with the data you have – it is a set of diverse techniques for summarizing the properties of this data in a compact form. The article suggests that this diagram was an intermediate form between a table of numbers and a true graph.
In this scenario, there is no translation of one media type into another type (for example, text translated into numbers or into graphs). It carries exactly the same information, as a graph which plots their frequencies - but if the latter foregrounds the graphic representation of the pattern, the former foregrounds the words themselves.
For example, here is the visual summary of 4535 covers of Time magazine which uses one one pizel wide horizontal column from from each cover.
Today in TV commercials, a network society is typically summarized by a visualization showing a globe with animated curve connecting many points. While at first these were only summaries of numerical data, the development of computational linguistics, digital image processing, and GIS in the 20th century also automates production of summaries of media such as texts, images, and maps. This is just one example of countless "summaries" produced in all areas of humanities (whether they are accurate is a separate question). For example, if you indicate that you are involved in civil engineering, we may share information that we have found to be relevant to civil engineers.
I click next, and it tells me it wants to remove all the packages, and that coooder needs this packages to work, and so it is not going to be installed. Aside from the slightly annoying double-step copy-and-paste, this mostly works fine except that lines that were entirely in bold lose their emboldening and I have to manually fix them. Although such summaries are not (or not yet) understood as belonging to statistics, they perfectly fit the definition of descriptive statistics. If you indicate that you are an experienced user or a newer user, we may communicate information to you that is designed to be relevant to your experience level. A few other strange bugs can occur too - Impress's import of styled text from OOWriter appears to be a bit buggy. I don't use Linux enough to know if it has such a shared cut-buffer, if it doesn't, I kind of understand your problem.( If it does, I really don't understand your problem). If you click on the outline of the text box, you can change the font (courier new is good for code) and print size.
Tukey's work lead to the development of statistical and graphing software S, which in its turn lead to R, which today is the most widelly used computing platform for data exploration and analysis.



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