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Page name: Functional job (1)

  1. Start with a verb or how-to + verb(representing the main goal of the article)

  2. Focus on outcome of a process

  3. Indicate context/granularity

  4. Represent user’s perspective

Example: Introduce yourself to algorithm training with IKOSA AI / How-to manage wrong predictions?

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One-liner: Desired outcome

  1. Start with a direction (minimize, reduce, lower, maximize, increase, raise)

  2. Specify the unit (time, ability, effort, chances, likelihood)

  3. Add qualifier without using “and“ or “or“

Example: Increase the ease of algorithm training.

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Short description: Situation and motivation

  1. Start by defining the context (situation) and the desired outcome (motivation) in one simple and short sentence.

  2. Explain how it can be achieved by means of prepared content in one simple and short sentence

Example: You need to have a well-performing algorithm quickly to progress your research - we get that. To help you achieve that we prepared a step-by-step guide to go smoothly through the training steps.

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Table of contents: Functional job (2)

  1. Fixed H1: What to expect from this page?

  2. Table of contents

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Easily import CSV files with your image analysis results into MS Excel 2016.

The IKOSA Platform cumulates quantitative results data in a CSV format, since CSV files offer more flexibility than conventional XLS file formats. These files can be later transferred to different table calculation programs like Excel. Yet, you need to convert CSV files into formats native to the spreadsheet program before you can perform actual calculations on them. 

In this article, you will learn what CSV files are and how you can easily import CSV data into an Excel 2016 worksheet to be able to proceed with your analysis. 

What to expect from this page?

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Import CSV files using the query import

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Content types:

  • short text;

  • visualizations (images, figures, renderings, graphics, schemes, software screenshots);

  • short videos (5-10 minutes)/animations/video snippets;

  • links to articles/case studies/white papers published on our website and

  • references to scientific publications

Content requirements:

  • Easily digestible information

  • As specific as possible

  • Chunked information

  • Condensed

  • No hard core details

  • Soft language

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Please note: This guide assumes your regional format settings of Windows being set to English (United Kingdom).

In order to obtain the data in the desired format, you have to import your CSV file into Excel. To do this you have to perform the following steps:

  1. Open a blank Excel workbook

  2. Click the "Data" field in the upper menu

  3. Select the option "New Query > From File > From CSV"

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  4. Choose the CSV file you want to import and click import

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  5. Preview your data in the window that opened

  6. Choose "Comma" as the delimiter type

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  7. Click on the "Load" button and then "OK" to insert the data into the workbook

  8. Check that your decimal data has been imported correctly

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Conclusion: Emotional job

  1. At the end of the article, cheer the reader up and highlight the success of their possible emotional job.

  2. If the user's action is not complete at this point and reading another instruction is implied for successful completion of the task, offer it as additional help.

Example: You are done with the training!

Now it’s time to evaluate how did it go. If you need any help with that, we have for you a couple of how-to articles.

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Conclusion: Social job

Propose a social action if relevant.

Example: Share the progress of your training with colleagues, discuss the outcomes and make new discoveries!

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If you have any questions, please send us an email at support@ikosa.ai.

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📚 Related articles

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Adjust displayed content of related articles by the label of the main section the published article belongs to.

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Filter by label (Content by label)
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Don't forget to add labels to this article to increase its searchability. Add labels of the main section where it belongs to and subject related labels.

Labelling technique:

  • start label name with a noun (ex. annotation, image, etc)

  • use dash “-“ between the words

  • don’t use more than 3 words in one label

Example: algorithm-prediction-analysis

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