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In this video, I explain how you can use the Statistics Helper in Home Assistant to perform precise data analysis for your smart home automations. I show you how to perform various calculations, such as the absolute distance, the distance between 95% and 99% of the values, the oldest time and the change. You will learn how to work with the number of values, the arithmetic mean and the average change per sample or second to gain deeper insights into your sensors and their behavior. I also go into the overall calculation and the linear average to identify trends and patterns in your data. At the end of the video, I pose a question to the community to exchange best practices and develop solutions! On my blog page you can find more 🔗 links and sketches on the topic. 💡 𝐌𝐞𝐢𝐧 𝐁𝐥𝐨𝐠: 𝐇𝐢𝐞𝐫 𝐟𝐢𝐧𝐝𝐞𝐬 𝐝𝐮 𝐰𝐞𝐢𝐭𝐞𝐫𝐞 𝐈𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧𝐞𝐧 & 𝐂𝐨𝐝𝐞 𝐁𝐞𝐢𝐬𝐩𝐢𝐞𝐥𝐞 https://smarthomeundmore.de ❤️ I'm a smart home owner and I'm happy with it: / @smarthome_more ☕ You can support me here: https://www.buymeacoffee.com/smarthom... https://paypal.me/smarthomeandmore 👨🏻💻 Here you can join my Discord server: / discord Helper playlist: • Home Assistant Helper #homeassistant #smarthome #iot 00:00 - Intro 00:23 - Introduction 01:23 - Note playlist 02:07 - Absolute distance 05:06 - Distance between 95% and 99% of the values 07:16 - Oldest time 07:48 - Change 08:57 - Community question 10:01 - Count 10:27 - Arithmetic mean 11:38 - Average changes per sample or second 13:06 - Total 13:54 - Linearized average 15:26 - Another community question Statistic Sensor with characteristic: Absolute distance Distance 95% of values Distance 99% of values Oldest Datetime Change Count Change sample Change second Sum Average linear Mean Average linear *) Products marked with an asterisk refer to Amazon. If you buy the product via the link, I receive a commission. The price does not change for you! I only link to products that I use myself and can recommend. You are supporting my work and my channel and allowing me to make some purchases for the creation of the videos. Thank you very much :-)