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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?

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Delete this block before publishing!Learn to easily import CSV files with image analysis results into MS Excel 2016 to get your data optimally prepared for further statistical evaluation.

The IKOSA Platform generates 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 spreadsheet programs like Excel. Yet, before you can perform actual calculations on them, you need to convert CSV files into formats native to the spreadsheet program.

In this article, you will learn to easily import CSV data into an Excel worksheet to be able to proceed with your analysis. 

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Please note: This guide assumes the regional format settings of your Windows OS has been set to English (United Kingdom).*

*The same applies if you have selected different English-language settings e.g. English (United States).

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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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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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Import CSV files using the External Data Import

  1. Open a blank Excel workbook

  2. Click the "Data" field in the top menu bar

  3. Select "Get External Data > From Text"

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    Choose the file you want to import and click "Import"

  5. In the Step 1 window that shows up select the option "Delimited" for the original data type, and check the box "My data has headers", then click "Next"

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    In Step 2 choose "Comma" as the delimiter (separator) type

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    Click on "Finish", then "OK" to insert the data into the workbook

  8. Check if your decimal data has been imported correctly

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Good job! Now you have your data in the right format and can start with your analysis. We’re sure there are tons of report-worthy insights there.

Show others on your team how to properly import CSV-data by sharing this guideline.

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

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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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