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20 08-Dec-2022 14:46 3 KB Stefan to previous
19 17-Oct-2022 11:28 3 KB Stefan to previous | to last
18 17-Oct-2022 11:21 3 KB Stefan to previous | to last
17 22-Aug-2022 16:35 3 KB Sophia Botsch to previous | to last
16 22-Aug-2022 16:34 3 KB Sophia Botsch to previous | to last
15 22-Aug-2022 12:11 3 KB Jonas Umgelter to previous | to last
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13 22-Aug-2022 11:49 3 KB Jonas Umgelter to previous | to last
12 22-Aug-2022 11:40 2 KB Jonas Umgelter to previous | to last
11 02-Aug-2022 14:52 2 KB Stefan to previous | to last
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9 27-Jun-2022 11:55 2 KB Jonas Umgelter to previous | to last
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6 14-Jun-2022 10:21 1 KB Stefan to previous | to last
5 13-Jun-2022 14:53 1 KB Jonas Umgelter to previous | to last
4 13-Jun-2022 14:46 1 KB Jonas Umgelter to previous | to last
3 12-May-2022 12:01 840 bytes Jurgen van den Hoogen to previous | to last
2 12-May-2022 12:00 1 KB Jurgen van den Hoogen to previous | to last
1 09-May-2022 10:38 108 bytes Stefan to last

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%%viewer [https://player.vimeo.com/video/670139726]%%
__Data Validation:__
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__%%( color: #003399; font-size: 30px;)Data Validation:__
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__%%( color: #003399; font-size: 16px;)Type of tool:__ desktop application
__%%( color: #003399; font-size: 16px;)Short description of the tool: __ The Data Validation tool helps with general knowledge on validating the quality of your data. Each chapter gives tips and tricks for data quality.
\\__%%( color: #003399; font-size: 16px;)Required skills: __
- Process/material knowledge: e.g. knowledge of material properties
- Digitalization knowledge: e.g. no programming
\\__%%( color: #003399; font-size: 16px;)Required programs %%( color: #003000; font-size: 14px;)(step-by-step guide and links provided in user guideline blow): __
\\- Python
\\- Java
\\- Anaconda
\\- Tool files from the GitHub (link below)
__%%( color: #003399; font-size: 16px;)Disclaimer:__
(Disclaimer Text)
__%%( color: #003399; font-size: 16px;)Screenshots:__
%%carousel
[Data Analytics/Di-Plast Data Validation Screenshot first page.JPG]
[Data Analytics/Di-Plast Data Validation Screenshot Introduction.JPG]
[Data Analytics/Di-Plast Data Validation Screenshot C1.JPG]
[Data Analytics/Di-Plast Data Validation Screenshot C2.JPG]
/%
\\__%%( color: #003399; font-size: 24px;)This tool supports you to:__
\\__%%( color: #003399; font-size: 18x;)Example use case:__
\\
\\__%%( color: #003399; font-size: 24px;)Tool guideline and access: __
\\ - ⚠️ We recommend to open and save the user guideline before proceeding:
\\ - The tool can be accessed throughout the following link: [https://github.com/cslab-hub/data_validation]
\\__%%( color: #003399; font-size: 16px;)Contact person of the tool: __
Jurgen van den Hoogen [mailto:j.o.d.hoogen@jads.nl] & Stefan Bloemheuvel [mailto:s.d.bloemheuvel@jads.nl] form the Jheronimus Academy of Data Science (JADS).
__%%( color: #003399; font-size: 16px;) Before applying this tool:__
\\We recommend also taking a look at the following Di-Plast tools below. They can help you to gather necessary information and data, help to better prepare your data and continue working with it afterwards:
\\--> Improve internal information and material flow -> [VSM]
\\--> Get guidance to set up a working data infrastructure -> [Data Infrastructure Wiki]
\\--> Find the right sensor to survey your process -> [Sensor Tool]
\\
\\__%%( color: #003399; font-size: 16px;)After applying this tool:__
\\-->Analyse and Visualize your process data with data analytics -> [Data Analytics]
\\-->Get important insights in enhancing your data understanding
-> [Exploratory Pattern Analytics]
\\-->Match material requirements with material properties -> [Matrix]
The tool can be accessed throughout the following link: [https://share.streamlit.io/cslab-hub/data_validation_diplast/main/main.py]