chore: update export dataset with 3 new contributions and refreshed graphs for 2024-11-07 to 2024-11-25

- Incremented total contributions from 2521 to 2524 in 0_dataset.txt
- Updated average contribution per user from 24.96 to 24.99
- Added new posts-retoor.txt entries including async Rust concurrency discussion
- Refreshed all export PNG graphs (comments per day/hour/weekday, score charts)
- Updated view-comment_stats JSON files with new data through 2024-11-25
- Rebuilt drstats-1.3.37 wheel and source distribution packages
- Updated drstats.db database with latest statistics

src/drstats.egg-info/PKG-INFO

@@ -12,9 +12,9 @@ Requires-Dist: dataset==1.6.2
 Requires-Dist: matplotlib==3.9.2
 Requires-Dist: requests==2.32.3
 
-# dRStats
+# dR stats
 
-Project to determine health of the devrant platform.
+This project is made to determine the health of the devRant developer community.
 
 Also this data will be used for retoor9b, the newest AI hype! You're still using ChatGPT?
 
@@ -24,7 +24,7 @@ Click here for latest [dataset](https://retoor.molodetz.nl/retoor/drstats/src/br
 
 Click here for latest [graphs compilaiton](https://retoor.molodetz.nl/retoor/drstats/src/branch/main/export/1_graphs_compliation.png).
 
-Click here for all generated [data](https://retoor.molodetz.nl/retoor/drstats/src/branch/main/export)
+Click here for all generated [data](https://retoor.molodetz.nl/retoor/drstats/src/branch/main/export). It's a big dataset containing data for LLM's to train on, graphs per user or overal statistics and json files with all made observations. 
 
 Statistics are build automatically using a build server.
 
@@ -49,10 +49,68 @@ source ./venv/bin/activate
 You don't have to use more than make. If you just run `make` all statistics will be generated. It will execute the right apps for generating statistics.
 ### Applications
 If you type `dr.` in terminal and press tab you'll see all available apps auto completed. These applications are also used by make.
-```
+
 1. `dr.sync` synchronizes all data from last two weeks from devrant. Only two weeks because it's rate limited.
 2. `dr.dataset` exports all data to be used for LLM embedding., don't forget to execute `dr.sync` first.
 3. `dr.stats_all` exports all graphs to export folder, don't forget to execute `dr.sync` first.
 4. `dr.rant_stats_per_day` exports graphs to export folder. don't forget to execute `dr.sync` first.
 5. `dr.rant_stats_per_hour` exports graphs to export folder. don't forget to execute `dr.sync` first.
 6. `dr.rant_stats_per_weekday` exports graphs to export folder. don't forget to execute `dr.sync` first.
+
+## Observations made by AI regarding statistics
+The model used for generating these observations is called `smoll2` which is a 1.7b model.
+
+Provided report below does contain some inconvenience but I'm working on it by testing several models. I am limited by the power my server provides for running LLM's. I do not own a decent GPU. 
+
+If I would attach the ChatGPT API to my project, the statistics would be better / perfect. I have tested this. Sadly, the API costs to much for a hobby project and I refuse the use of an credit card. There are better options for payment not provided by OpenAI which I prefer.
+
+### Several trends and insights about the devRant community
+
+1. The most active users seem to be posting more than once per month. This 
+could indicate that these individuals are very engaged with the community 
+or have a high level of interest in participating in discussions.
+
+2. There is a large range in the post lengths, ranging from 19 characters 
+(kienkhongngu) to 742 characters (Pogromist). While there may be some 
+outliers due to formatting issues or other factors, this suggests that 
+users have varying levels of engagement and writing style on the forum.
+
+3. The "ownership_content" value ranges from -0.5 to 1. This indicates 
+that while some users do not post much, others are heavily involved with 
+frequent and in-depth contributions. However, it's unclear what specific 
+metric this represents or how it correlates with user engagement.
+
+4. The most common "upvotes" per month range from 0 to 9 (arekxv) and 21 
+(-1 for negative upvotes). This suggests that while users are posting 
+relatively often, there may be some variability in their level of 
+agreement with the content they're sharing or commenting on.
+
+5. Overall, the data indicates a moderate level of engagement from users. 
+While there is no clear indication of highly active users dominating the 
+forum, the overall statistics suggest an engaged community where users 
+contribute regularly and interact with each other's posts.
+
+## Detailed by AI generated summary based on information provided by this project about a certain user
+The username is anonymized. Same for the actual values.
+
+### Analysis of user **neo**
+
+1. **Rank and Contributions**:
+    - **Rank**: 45th overall
+    - **Contributions**: 45 posts
+2. **Ownership**:
+    - **Ownership**: 0.10, indicating that neo holds a slightly larger portion of the content ownership in the dataset.
+3. **Upvotes**:
+    - **Upvotes**: 120 upvotes in total, suggesting that neo's content receives a notable level of recognition.
+    - **Upvotes Ownership**: 0.03, meaning that neo owns about 3% of all upvotes in the dataset.
+    - **Upvote Ratio**: 2.67, which implies a solid amount of engagement with neo’s posts.
+4. **Post Length**:
+    - **Total Post Length**: 5,100 characters
+    - **Average Post Length**: 113 characters per post, suggesting relatively concise contributions.
+
+#### Summary:
+
+- **neo** is ranked 45th with 45 posts, indicating a modest level of contribution.
+- Their **ownership** percentage (0.10) reflects a slightly larger share of content ownership.
+- The **upvotes** received (120) and **upvote ratio** (2.67) suggest a notable level of engagement with their content.
+- The **average post length** of 113 characters indicates concise contributions.