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Holistic Sleep Tracker by Samuel W Hincks

☆ ☆ ☆ ☆ ☆ 0 - (0) Reviews - Created on listopada 15, 2023

Last updated on lipca 10, 2024 Engagement: Over 10 Conversations

A personalized habit tracker analyzing trends for improved sleep and habit formation.

Author: Samuel W Hincks View Author GPTs
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Share this GPT: Try Holistic Sleep Tracker
GPT Message
Prompt Starters: I would like a to-do list based on your successful habits?

What negative habits do I have recently as they impact my sleep quality?

I just want to see the connection between my sleep and the factors that I showed you. . Lets just do this. I need the dictionary data frames of the data that I linked so that I can see what factors have been present. I want you to create a dictionary with a key for each day. And a key for each factor ever linked in the data, that is read in the CSV. Remeber the format I showed you A python file that parses the data like above on this data date,date formatted,weekday,time of day,category,rating/amount,detail,notes "1st Nov 2023","2023-11-01","Wednesday","","Sleep","","",". (synced from Apple Health)" "1st Nov 2023","2023-11-01","Wednesday","","Sleep quality","3","OK","" "1st Nov 2023","2023-11-01","Wednesday","all day","Sleep factors","","l 🚪 door closed | 💨 Aired out basement | ❌ No food 4 hours before bed | ☕️ immediate coffee | 👂 Ear Plugs","" "1st Nov 2023","2023-11-01","Wednesday","08:19","Mood","7","","" "1st Nov 2023","2023-11-01","Wednesday","all day","Other Factors","","🫓 No Heaviness after Eating | 💧Feelings of Dehydration | 💛 Moderate Heart Portals | 🔥☁️Moderate Body | ❤️🌗 Moderately Rooted in Body | 📻 Medium Music | 💻 Programming | 🔄 Internal Locus of Control | 📱 High Productivity | 🧓Social Evening | 🏃 Moderate Evening Motion | 🔥 🚫 No Sauna | 🚶Exercise: HIIT | 🚶Exercise: Full body | 💬 Moderately sociable | ☕ (A lot) Caffeine | 🖥 (A lot) Screen Time","" "1st Nov 2023","2023-11-01","Wednesday","8:26","Meds/Supplements","1","Afternoon Ashkawaganda (mg)","" "1st Nov 2023","2023-11-01","Wednesday","16:50","Health measurements","3","Sleep Quality Next day (int)","" "1st Nov 2023","2023-11-01","Wednesday","","Health measurements","9709","Step count (steps)","(synced from Apple Health)" "2nd Nov 2023","2023-11-02","Thursday","","Sleep","","",". (synced from Apple Health)" "2nd Nov 2023","2023-11-02","Thursday","","Sleep quality","3","OK","" "2nd Nov 2023","2023-11-02","Thursday","all day","Sleep factors","","l 🚪 door closed | 🔥heater on in hours before bed | 🥗unsatisfied hunger in evening | ❌ No food 4 hours before bed | ☕️ immediate coffee | 👂 Ear Plugs","" "2nd Nov 2023","2023-11-02","Thursday","16:52","Mood","7","","" "2nd Nov 2023","2023-11-02","Thursday","all day","Other Factors","","🥒 High Sex Drive | 💛 Moderate Heart Portals | 🔥☁️Moderate Body | 👃 Semi Free Nose | ❤️🌗 Moderately Rooted in Body | 📻 Medium Music | 💻 Programming | 🔄 Internal Locus of Control | 📱Moderate Productivity | 🧓Social Evening | 🕺 Free Flow | 🏃 High Evening Motion | 💛 Play | 🕚 Day Peak in Evening | ❤️ Heart Alignment | 🔥 🚫 No Sauna | 🚶Exercise: Run more then 30m | 🔥 Highly active | 💬 Moderately sociable | ☕ (A lot) Caffeine | 🌲 (Moderate) Time Outside | 🖥 (A lot) Screen Time | 😍 Oxytocin","" "2nd Nov 2023","2023-11-02","Thursday","12:12","Meds/Supplements","1","Afternoon Ashkawaganda (mg)","" "2nd Nov 2023","2023-11-02","Thursday","12:12","Meds/Supplements","1","mivitotal (mg)","" "2nd Nov 2023","2023-11-02","Thursday","12:12","Health measurements","5","Sleep Quality Next day (int)","" "2nd Nov 2023","2023-11-02","Thursday","","Health measurements","10329","Step count (steps)","(synced from Apple Health)" "3rd Nov 2023","2023-11-03","Friday","12:01","Mood","7","","" "3rd Nov 2023","2023-11-03","Friday","","Sleep","","",". (synced from Apple Health)" "3rd Nov 2023","2023-11-03","Friday","","Sleep quality","5","Great","" "3rd Nov 2023","2023-11-03","Friday","all day","Sleep factors","","🚪 slightly open | 💨 Aired out basement | ❌ No food 4 hours before bed | ☕️ immediate coffee","" "3rd Nov 2023","2023-11-03","Friday","all day","Other Factors","","🌳Ganja | ☕ (A lot) Caffeine | 🖥 (A lot) Screen Time | 🌲 (Moderate) Time Outside | 💬 Moderately sociable | 🏆 Continuously Optimal Flow | ⏰ Main exercise in morning | 🚿 Cold Water | 🚶Exercise: Full body | 🔥 Highly active | 🔥Day sauna | ❤️ Heart Alignment | 🕚 Day Peak in Afternoon | 📝 Chat GPT protocol | 📻 High Music | 💻 Programming | 🔄 Internal Locus of Control | 📱 High Productivity | 🚶 Lots of walking in evening | ❤️ Evening Yoga Nidra | 🏃 Moderate Evening Motion | 🥒 High Sex Drive | 💦 Hydration through Day | 🫓 Some Heaviness from Eating | ❤️ Active Heart Portals | 🔥 Warm Body | 👃 Semi Free Nose | ❤️ Rooted in Body | 🎂🚫No Sugary Teeth at 16:00-18:30 | 🐍 orgasm in hour before bed 🕰️ | 🐍orgasm | 🎧 audio p org | 🐍orgasm in evening | 🐍⏰mas. in morning | ☔️ Rain","" "3rd Nov 2023","2023-11-03","Friday","8:32","Health measurements","4","Sleep Quality Next day (int)","" "3rd Nov 2023","2023-11-03","Friday","","Health measurements","7509","Step count (steps)","(synced from Apple Health)" "4th Nov 2023","2023-11-04","Saturday","all day","Other Factors","","🥒 Low Sex Drive | 💧Feelings of Dehydration | 🫓 No Heaviness after Eating | ❤️ Active Heart Portals | 👃Free Nose | ❤️🌗 Moderately Rooted in Body | 📻 Medium Music | 🎤 Audio Engineering | 📱 High Productivity | 🔄 Internal Locus of Control | ❤️ Evening Yoga Nidra | 🏃 Low Evening Motion | ❤️ Heart Alignment | 🔥 🚫 No Sauna | 🕚 Day Peak in Morning | 🔥 Moderately active | 🚿 Cold Water | 💬 Moderately sociable | ☕ (Moderate) Caffeine | 🎨Creative Day | 🌳Ganja | 🖥 (Moderate) Screen Time | 🐍orgasm in evening | 🐍orgasm","" "4th Nov 2023","2023-11-04","Saturday","","Sleep","","",". (synced from Apple Health)" "4th Nov 2023","2023-11-04","Saturday","","Sleep quality","4","Good","" "4th Nov 2023","2023-11-04","Saturday","all day","Sleep factors","","🚪 slightly open | 🔥heater on in hours before bed | 🐍 one pee in night | ☕️ immediate coffee | 👂 Ear Plugs","" "4th Nov 2023","2023-11-04","Saturday","18:04","Health measurements","4","Sleep Quality Next day (int)","" "4th Nov 2023","2023-11-04","Saturday","","Health measurements","5066","Step count (steps)","(synced from Apple Health)" "5th Nov 2023","2023-11-05","Sunday","","Sleep","","",". (synced from Apple Health)" "5th Nov 2023","2023-11-05","Sunday","","Sleep quality","4","Good","" "5th Nov 2023","2023-11-05","Sunday","all day","Sleep factors","","🚪 slightly open | ☕️ immediate coffee | 👂 Ear Plugs","" "5th Nov 2023","2023-11-05","Sunday","09:04","Mood","8","","" "5th Nov 2023","2023-11-05","Sunday","all day","Other Factors","","🥒 High Sex Drive | 🫓 Some Heaviness from Eating | 💦 Hydration through Day | 🔥☁️Moderate Body | 💛 Moderate Heart Portals | ❤️🌗 Moderately Rooted in Body | 🎂🚫No Sugary Teeth at 16:00-18:30 | 📻 Medium Music | 🔄 Internal Locus of Control | 📱Moderate Productivity | ❤️ Evening Yoga Nidra | 🏃 Low Evening Motion | 🕚 Day Peak in Afternoon | 🔥Day sauna | ⏰ Main exercise in afternoon | 🚶Exercise: Full body | 🚿 Cold Water | 🔥 Moderately active || 💬 Moderately sociable | ☕ (Moderate) Caffeine | 🖥 (Moderate) Screen Time | 🐍⏰mas. in morning | 📆orgasm in afternoon | 🐍orgasm","" "5th Nov 2023","2023-11-05","Sunday","9:13","Meds/Supplements","1","mivitotal (mg)","" "5th Nov 2023","2023-11-05","Sunday","18:04","Health measurements","3","Sleep Quality Next day (int)","" "5th Nov 2023","2023-11-05","Sunday","","Health measurements","6088","Step count (steps)","(synced from Apple Health)" "6th Nov 2023","2023-11-06","Monday","","Sleep","","",". (synced from Apple Health)" "6th Nov 2023","2023-11-06","Monday","","Sleep quality","3","OK","" "6th Nov 2023","2023-11-06","Monday","all day","Sleep factors","","🚪 slightly open | ☕️ immediate coffee | 👂 Ear Plugs","" "6th Nov 2023","2023-11-06","Monday","09:07","Mood","7","","" "6th Nov 2023","2023-11-06","Monday","all day","Other Factors","","🥒 Low Sex Drive | 💦 Hydration through Day | 🫓 No Heaviness after Eating | 💛 Moderate Heart Portals | 👃Free Nose | ❤️🌗 Moderately Rooted in Body | 📻 Medium Music | 💻 Programming | 🔄 Internal Locus of Control | 📱Moderate Productivity | 🏃 Moderate Evening Motion | 🔥 🚫 No Sauna | 📝 Chat GPT protocol | 🚶Exercise: Run more then 30m | 🔥 Moderately active | 🚿 Cold Water | ☕ (Moderate) Caffeine | 🖥 (A lot) Screen Time | 🐍orgasm in evening | 🐍orgasm","" "6th Nov 2023","2023-11-06","Monday","18:04","Meds/Supplements","1","Morning Focus+ (mg)","" "6th Nov 2023","2023-11-06","Monday","18:04","Health measurements","4","Sleep Quality Next day (int)","" "6th Nov 2023","2023-11-06","Monday","","Health measurements","11697","Step count (steps)","(synced from Apple Health)" "7th Nov 2023","2023-11-07","Tuesday","","Sleep","","",". (synced from Apple Health)" "7th Nov 2023","2023-11-07","Tuesday","","Sleep quality","4","Good","" "7th Nov 2023","2023-11-07","Tuesday","all day","Sleep factors","","🚪 largely open | ❌No food 3 hours before bed | 💃pre sleep orgasm | 🐍 one pee in night | 🔥heater on in hours before bed | ☕️ immediate coffee","" "7th Nov 2023","2023-11-07","Tuesday","all day","Other Factors","","🥒 Low Sex Drive | 💧Feelings of Dehydration | 🫓 No Heaviness after Eating | 💙 No Heart Portals | 🔥☁️Moderate Body | ❤️ 🚫 Not rooted in Body | 👃Free Nose | 📻 Medium Music | 💻 Programming | 🔄 External Locus of Control | 📱 High Productivity | 🏃 Moderate Evening Motion | ❤️ Evening Yoga Nidra | 🧓Social Evening | 🕚 Day Peak in Afternoon | ✂️ At Office | ⏰ Main exercise in afternoon | 🔥 Moderately active | 🚶Exercise: HIIT | 💬 Highly sociable | ☕ (A lot) Caffeine | 🖥 (Moderate) Screen Time | 🐍⏰mas. in morning | 🐍orgasm | 🐍orgasm in evening","" "7th Nov 2023","2023-11-07","Tuesday","12:09","Health measurements","3","Sleep Quality Next day (int)","" "7th Nov 2023","2023-11-07","Tuesday","","Health measurements","6387","Step count (steps)","(synced from Apple Health)" "8th Nov 2023","2023-11-08","Wednesday","11:53","Mood","7","","" "8th Nov 2023","2023-11-08","Wednesday","","Sleep","","",". (synced from Apple Health)" "8th Nov 2023","2023-11-08","Wednesday","","Sleep quality","3","OK","" "8th Nov 2023","2023-11-08","Wednesday","all day","Sleep factors","","🚪 slightly open | 💃pre sleep orgasm | ☕️ immediate coffee | 👂 Ear Plugs | One Drink in Evening","" "8th Nov 2023","2023-11-08","Wednesday","all day","Other Factors","","🥒 Low Sex Drive | 💦 Hydration through Day | 🫓 No Heaviness after Eating | 💙 No Heart Portals | ❤️ 🚫 Not rooted in Body | 👃 Semi Free Nose | 🔥☁️Moderate Body | ✂️ At Office | 💻 Programming | 📱 High Productivity | ❤️ Evening Yoga Nidra | 🏃 High Evening Motion | 📝 Chat GPT protocol | 🕚 Day Peak in Morning | 🔥 🚫 No Sauna | 🏃‍♀️Exercise: no exercise | ⏰ Main exercise in morning | 🚶Exercise: Full body | 🔥 Moderately active | 💬 Highly sociable | 🔄 External Locus of Control | ☕ (Moderate) Caffeine | 🌲 (A lot) Time Outside | 🖥 (A lot) Screen Time | 🐍⏰mas. in morning","" "8th Nov 2023","2023-11-08","Wednesday","9:03","Meds/Supplements","600","fish oil (mg)","" "8th Nov 2023","2023-11-08","Wednesday","9:03","Meds/Supplements","1","mivitotal (mg)","" "8th Nov 2023","2023-11-08","Wednesday","9:03","Meds/Supplements","1","Morning Focus+ (mg)","" "8th Nov 2023","2023-11-08","Wednesday","9:03","Health measurements","3","Sleep Quality Next day (int)","" "8th Nov 2023","2023-11-08","Wednesday","","Health measurements","11358","Step count (steps)","(synced from Apple Health)" "9th Nov 2023","2023-11-09","Thursday","08:54","Mood","6","","" "9th Nov 2023","2023-11-09","Thursday","","Sleep","","",". (synced from Apple Health)" "9th Nov 2023","2023-11-09","Thursday","","Sleep quality","3","OK","" "9th Nov 2023","2023-11-09","Thursday","all day","Sleep factors","","❌No food 3 hours before bed | ☕️ immediate coffee | 👂 Ear Plugs","" "9th Nov 2023","2023-11-09","Thursday","all day","Other Factors","","🥒 High Sex Drive | 🫓 No Heaviness after Eating | 💧Feelings of Dehydration | 💙 No Heart Portals | ❤️🌗 Moderately Rooted in Body | 🔥❄️Cold Body | 🔄 Internal Locus of Control | 📱Low Productivity | 🏃 High Evening Motion | 🧓Social Evening | 🕚 Day Peak in Evening | 🔥 Moderately active | 💬 Moderately sociable | ☕ (A lot) Caffeine | 🌲 (Moderate) Time Outside | 🖥 (A lot) Screen Time | 😍 Oxytocin","" "9th Nov 2023","2023-11-09","Thursday","10:47","Meds/Supplements","1","Morning Focus+ (mg)","" "9th Nov 2023","2023-11-09","Thursday","10:47","Meds/Supplements","1","Afternoon Ashkawaganda (mg)","" "9th Nov 2023","2023-11-09","Thursday","10:47","Meds/Supplements","600","fish oil (mg)","" "9th Nov 2023","2023-11-09","Thursday","10:47","Health measurements","4","Sleep Quality Next day (int)","" "9th Nov 2023","2023-11-09","Thursday","","Health measurements","4718","Step count (steps)","(synced from Apple Health)" "10th Nov 2023","2023-11-10","Friday","10:43","Mood","7","","" "10th Nov 2023","2023-11-10","Friday","","Sleep","","",". (synced from Apple Health)" "10th Nov 2023","2023-11-10","Friday","","Sleep quality","4","Good","" "10th Nov 2023","2023-11-10","Friday","all day","Sleep factors","","🚪 slightly open | 💨 Aired out basement | 🔥heater on in hours before bed | ❌ No food 4 hours before bed | ☕️ immediate coffee | 👂 Ear Plugs","" "10th Nov 2023","2023-11-10","Friday","","Health measurements","11639","Step count (steps)","(synced from Apple Health)"

Which habits that were helping me in September disappeared in October?

What are heart portals?

I want you to upload my sleep data to a data. To proceed with a factor analysis, we need to first organize and preprocess the data appropriately. Here are the steps we can take: Data Cleaning: Ensure that the data is free of any inconsistencies or missing values. For example, the 'time of day' column has some NaN values which may need to be handled. Data Transformation: Convert data into a suitable format for analysis. For example, the 'rating/amount' and 'detail' columns contain various types of data that need to be standardized or encoded. Factor Extraction: Decide on the factors (variables) that are relevant for the analysis. For example, you might want to analyze how 'Sleep quality', 'Mood', 'Energy', and other factors correlate with each other. Statistical Analysis: Use statistical methods like correlation analysis, principal component analysis (PCA), or other factor analysis techniques to identify patterns and relationships in the data. Would you like to proceed with these steps, or is there a specific aspect of the data you would like to focus on for the analysis
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