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Tag Archives: retail
Ratios, ratios, ratios!
It seems like some people do not really understand what AnRep3D is, does and how it wil offer companies a competitive advantage. We cannot blame them, as the concept is very different from existing tools in the market. Sometimes the … Continue reading
Posted in Visualising Financial Information
Tagged 3D, Annual Report, Assets, Bank, CO2, Coal, Companies, Countries, Energy, Equity, finance, Financial Ratios, Fundamental Analysis, Industries, Liabilities, manufacturing, Natural Gas, Oil, Profit, Quarters, ratio, Renewables, retail, Revenue, Spatial graph, temp agency, Virtual Reality, Visual Mining, Visualisation, Years
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Automotive 4 – GM (General Motors)
Time for the third automotive company to enter the graph! By now you will know the procedure, so this post will be rather short. After Ford it makes sense to take the annual reports from General Motors. It’s also a … Continue reading
Posted in Visualising Financial Information
Tagged 3D, Annual Report, Assets, Buick, Cadillac, Chevrolet, Companies, Equity, Ford, Fundamental Analysis, Gearing, General Motors, Germany, GM, Industries, Japan, Javascript, Liabilities, manufacturing, Mitsu, Mitsubishi Motors, Profit, retail, Revenue, Spatial graph, Stock Market, USA, Virtual Reality, Visual Mining, Visualisation, WebGL
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Introductory videos, explaining the AnRep3D graphs
Currently we have a lot of posts discussing all kinds of examples of AnRep3D graphs. Most of them hold links to real 3D-graphs, to be shown in the browser. Yet it would be good to have a little more guidance … Continue reading
Posted in Visualising Financial Information
Tagged 3D, Annual Report, Assets, Bank, Companies, Equity, freight, Fundamental Analysis, Gearing, Germany, Industries, Javascript, Liabilities, manufacturing, Profit, retail, Revenue, secondment, Spatial graph, Stock Market, temp agency, UK, USA, utilities, Virtual Reality, Visual Mining, Visualisation, WebGL
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Ten years of Amazon (with reference Alphabet/Google) Part II
In the previous post I couldn’t tell everything, because the total message would have been too long and therfore confusing. Two things were different: A long period of time (10 years) was taken for Amazon, but for Google (later Alphabet) … Continue reading
Posted in Visualising Financial Information
Tagged 3D, Alphbet, Amazon, Annual Report, Assets, Companies, Equity, Fundamental Analysis, Gearing, Industries, Javascript, Liabilities, Product-based, Profit, Profit before taxation, retail, Revenue, Service-based, Spatial graph, Stock Market, Total Assets, Total liabilities, transition, USA, Virtual Reality, Visual Mining, Visualisation, WebGL
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Visualising a mix of large companies in a spatial graph (III)
Last time we checked the values again and corrected the input for PSA. E.on however, has really shrunk! The 2016 loss was extremely high and as a result the equity almost vaporised. The total assets and the revenue are much, … Continue reading
Posted in Visualising Financial Information
Tagged 3D, Annual Report, Assets, Companies, E.on, Equity, France, freight, Fundamental Analysis, Germany, IBM, Industries, Liabilities, Maersk, manufacturing, Profit, PSA, retail, Revenue, Spatial graph, Stock Market, Tesco, UK, USA, utilities, Virtual Reality, Visual Mining, Visualisation
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Visualising a mix of large companies in a spatial graph (II)
Picking up the subject where I left it last time, I have to convert all the numbers into the same currency. Otherwise we cannot compare the numbers in a spatial graph (nor in any other graph for that matter). This … Continue reading
Posted in Visualising Financial Information
Tagged 3D, Assets, Companies, consultancy, Equity, France, freight, Fundamental Analysis, Germany, Industries, Liabilities, manufacturing, Profit, retail, Revenue, secondment, Spatial graph, Stock Market, UK, USA, utilities, Virtual Reality, Visual Mining, Visualisation
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Visualising a mix of large companies in a spatial graph (I)
Before the “abuse” of the AnRep3D generator to visualise the average, individual energy-usage in different countries, normal AnRep3D spatial graphs were shown and discussed. With “normal” I mean visualising key financial data from the annual report (or more precisely: the … Continue reading
Posted in Visualising Financial Information
Tagged 3D, Annual Report, Assets, Cars, Companies, Energy, Equity, Fast Moving Consumer Goods, Fundamental Analysis, ICT, Industries, Liabilities, Logistics, manufacturing, Profit, retail, Revenue, Spatial graph, Stock Market, Transport, Virtual Reality, Visual Mining, Visualisation
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Visualising a mix of companies in a spatial graph (III)
Before we talk about the graph, let me tell you the actual spatial graph I am talking about is available at smallmix.htm Any modern browser with WebGL enabled will show this X3DOM-based graph, which actually is just a webpage. We … Continue reading
Posted in Visualising Financial Information
Tagged 3D, airline, Annual Report, Bank, cargo, Companies, consultancy, Equity, freight, Fundamental Analysis, Industries, Liabilities, manufacturing, Profit, retail, Revenue, secondment, Spatial graph, Stock Market, temp agency, utilities, Virtual Reality, Visual Mining, Visualisation
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Visualising a mix of companies in a spatial graph (II)
We already had a look at the revenue, profit, equity and total assets of five very different companies (the well-know Zalando, Tesla and Easyjet, the probably less-known temp agency USG-People and then the Spanish technology company Elecnor). Yet we only … Continue reading
Posted in Visualising Financial Information
Tagged 3D, airline, Annual Report, Assets, Companies, consultancy, Equity, Fundamental Analysis, Industries, Liabilities, manufacturing, Profit, retail, Revenue, secondment, Spatial graph, Stock Market, temp agency, utilities, Virtual Reality, Visual Mining, Visualisation
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