Developers Club geek daily blog

Visualization of the market of competitors by means of R

1 year, 6 months ago
Labor market represents classical forming of supply and demand on labor. And if from demand for work, many recruitment agencies and portals on job search represent some analytics according to the available sentences (the truth, not always in necessary look). That from the sentence (competitors) of analytics much less and that that is, is not universal for everyone, and most often represents simply cut according to the desirable income in some general spheres, or it is simple according to the name of the summary.
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The tool which on arbitrary access of the summary (according to the name, key word and other) would show the main characteristics of such selection, distribution of salaries, age, and many other things as in graphic look, and look any the pertsentily was interesting to me. The result of my desire, is lower under cat.

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Visualization of static and dynamic networks on R, part 3

1 year, 6 months ago
In the first part:
  • visualization of networks: what for? how?
  • visualization parameters
  • best practices — esthetics and productivity
  • data formats and preparation
  • the description of data sets which are used in examples
  • the beginning of work with igraph

In the second part: colors and fonts in diagrams R.

In this part: parameters of graphs, tops and edges.

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IBM Cognos BI and QlikView with what to begin to the curious?

1 year, 7 months ago
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Some time ago I have written article in which relatively has briefly described mechanics of work with BI as systems on the example of IBM Cognos BI. I have decided to develop a little subject, and to make peculiar "comparison" of analytical products of IBM Cognos and QlikView.
It is impossible to call material of the publication comparison, it is more instruction "with what to begin?". I will show as to make rather simple report 2 tools — IBM Cognos BI and QlikView, and you already solve what of them suits you more (or does not approach).
Material of article will be stated in the form of combination a little text and many video (fans to esteem can descend in article about IBM Cognos BI). I hope that such way of the report of information will be convenient and will reduce material creation time

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Case "Visualization. In what benefit for the retailer?"

1 year, 7 months ago
Every day the retailer operates with information on sales on shops, types of goods, the prices. Also it seems that it is enough these data to be aware of that occurs in shop or network. Whether so it?

It is heavy to analyze data bulks to the retailer. Big tables do not show dynamics and dependences. Visualization on the contrary — allows to see at once dynamics of processes, interrelation between them. Some indicators can be compared at the same time, right there to define how they influence at each other, for example, as the change in price influences turn and number of sales as change of the average check with number of checks and turn and so on varies.


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Ko clustering: segmentation of data up and down

1 year, 7 months ago
Usually the clustering means selection of several object groups with similar characteristics in group, and between groups — different. Feature to - clusterings — grouping not only objects, but also characteristics of these objects. That is, if data are presented in the matrix form, the clustering — is regrouping of lines or columns of matrix, and to - clustering — regrouping and lines and columns of data matrix.
As well as in my previous publications, examples of use of methods and visualization of solutions are shown on these results of polls. Typical scope of algorithms to - clusterings — bioinformation science, segmentation of images, the analysis of texts.



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Visualization crystal 3d - structures in the browser without plug-ins

1 year, 7 months ago
Hi, Habr! In this article I will compare four open engines of visualization of crystal structures in the CIF format (Crystallographic Information File) popular in crystal chemistry and materials science. It will be a question of modern JavaScript (including transcompilation of Java and C in JavaScript), of crystal chemistry and solid state physics. We teleport from Shryodinger and Landau's world to Berners-Li and Jobs's world, and then back. So, have gone.

Water adsorption on perovskite surface

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The statistical technique of detection of anomalies in eBay

1 year, 7 months ago
Complex systems are subject to failures of many components therefore it is quite reasonable to separate failures into two classes. It is possible to refer the repeating failures which are possible for warning (for example, failure of the hard drive) and to reveal by means of direct checks to the first. Unexpected failures belong to the second class.

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How to pick up dress by means of method main component

1 year, 7 months ago
So, who not against that the clothes to it were selected by the program, the machine, neuronet?

Any set of images it is possible to analyze by means of method main component. This method is already quite successfully applied at facial recognition. We will try to use it on the example of women's dresses.

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Contingency tables: loglinear models and Markov networks

1 year, 7 months ago
In the previous part of the publication the method of factorization of non-negative matrixes as decrease in dimension and visualization of contingency tables has been considered. In this part statistic analysis of the received charts with use of loglinear models will be carried out. I will remind, examples are shown for complex survey of the data — stratified, clustered and the weighed selections. This circumstance assumes application of ad hoc methods of assessment and choice of models. Markov networks — the convenient instrument of graphical representation of interaction of factors of loglinear models are applied to visualization of the received results.



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Visualization of static and dynamic networks on R, part 2

1 year, 7 months ago
In the first part:
  • visualization of networks: what for? how?
  • visualization parameters
  • best practices — an esthetics and performance
  • formats of data and preparation
  • the description of data sets which are used in examples
  • beginning of work with igraph

In this part: colors and fonts in diagrams R.

Read more »