IoT Data preprocessing and cleaning
According to the Uptime Elements IoT Implementation Guide, data preprocessing is a critical step in preparing raw data for analysis.
The guide report that this phase involves several tasks:
1. Handling Missing Values: Identify and handle missing values using techniques, such as mean imputation, median imputation, or predictive modeling.
2. Removing Outliers: Detect and remove outli- ers that may skew analysis results using statis- tical methods or domain knowledge.
3. Normalization and Standardization: Scale numerical features to a common range using normalization techniques like min-max scaling or standardization methods like z-score normalization.
4. Encoding Categorical Variables: Convert categorical variables into numerical representations using techniques, such as one-hot encoding or label encoding.
5. Feature Engineering: Create new features or transform existing features to extract meaningful information and improve model performance.
By preprocessing and cleaning the data, you ensure that it is accurate, complete and ready for analysis, thus increasing the reliability of your results.
The Uptime Elements IoT Implementation Guide covers data governance in greater detail.
How does this compare with your IoT data preparation process?
How would you change this list?
I would appreciate you sharing your comments below. I learn when you ask, so please ask any questions that come up for you as well.
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As a thank you for being one of my LinkedIn Subscribers I am happy to offer you the Uptime Elements IoT Implementation Guide FREE until January 31, 2025. [normally $99.99] using the QR Code below to zero the download shopping cart to $0.
This guide was created by the Reliability Leadership Digitalization Consortium, a working group of IoT professionals who are also Reliability Leaders.
They, as I, hope you find great value in this eBook for your IoT projects.
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References and Resources
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As one of my LinkedIn Contacts or followers who also subscribe to my messages through the Reliability Leader Times, these posts discuss what I have been doing as Reliabilityweb.com gratefully looks back at its first 25 years and thankfully looks forward to the next 25 year of a very reliable future - where the world works (for everyone).
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Terrence O'Hanlon
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Agreed and I’m now representing Sharecat.com collaborating with owner operators, service providers, and OEMs.