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yt

making channels ranking based on subscribe and views count
making ranking based on viewers engagement
Popular words
yt recommendation system
YouTube Ecosystem
Graphs
Top 3 channels views (viz)
Creating clusters
Is video going to be hit or miss
If csv reader node has "lap" in its name it was made from laptop, else it was made on PC (same data, different input)
Input data (if needed)

Made by:

Norbert Rudolf

Preparing file 4 joining
Document Vector
Similarity Search
Column Renamer
Adding video titles
Joiner
Network Creator
videos
CSV Reader
Object Inserter
Column Filter
Recomending graph2
Network Viewer
Row Filter
Recomending graph1
Network Viewer (local)
Row Filter
Color Manager
k-Means
TF
how often some words appear
GroupBy
Clusters viz
Scatter Plot
Column Filter
Math Formula
Reecommendations
Table View
Joiner
Column Renamer
Column Resorter
t-SNE (L. Jonsson)
Naminng Clusters
Expression
Date&Time Part Extractor
String to Date&Time
Hit or Miss Conditions
Rule Engine
Table Partitioner
Decision Tree Predictor
Decision Tree Learner
channels
CSV Reader
videos
CSV Reader
Sorter
Column Filter
popularity ranking
Table View
GroupBy
Math Formula
all file
CSV Writer
Score check
Scorer
Sorter
Clusters check
GroupBy
remowing views and other
Column Filter
Cluster export
CSV Writer
Column Filter
chnnels lap
CSV Reader
cluster inport
CSV Reader
videos lap
CSV Reader
Joiner
String Manipulation
videos lap
CSV Reader
Selecting top 3 yt channels
How clusters look in graph
Network Viewer (local)
Couting weight
GroupBy
Top 3 channels - average views
Line Plot
Object Inserter
Sorter
most popular words
Rank
Engagement ranking
Table View
most popular words
Table View
String Manipulation
NLP
All file
CSV Reader
Joiner
Rec_channel (recomendet channel)
Column Renamer

Nodes

Extensions

Links

Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: Rudi1
Created at: 2026-01-08
On NodePit since: 2026-01-19
Last update: 2026-01-19
Created with KNIME version: v5.9.0

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