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22576 - Data Analytics - Assessment 2 (1)

Box Plot
check for distribution, to decide whether we use median or mean to replace missing data
Histogram
Color Palette Designer
check for distribution, to decide whether we use median or mean to replace missing data
Histogram
Silhouette Coefficient
GroupBy
Scatter Plot
Independent groups t-test
Color Designer (Apply)
check for distribution, to decide whether we use median or mean to replace missing data
Histogram
Color Palette Designer
Statistics
Statistics
This shows the average mean of people being converted coming from different lead sources
GroupBy
k-Means
Shows the percentage of people converted that did the survey
Value Counter
Silhouette Coefficient
GroupBy
Scatter Plot
Independent groups t-test
One to Many
CSV Reader
Testing the first Hypothesis of whether time spent on website = higher conversion rate + the others
Independent groups t-test
k-Means
Duplicate Row Filter
Silhouette Coefficient
CSV Reader
Normalizer
This compares lead sources to whether it matters when it comes to people being converted
Crosstab
GroupBy
This compares country, however there is a unkown makes a signficant amount towards the resutl
Crosstab
Crosstab
Grouping the average of total time spent on website, total visits, activity score, profile score, page views per visit
GroupBy
This compares whether giving a free copy of masting the inverview = customers are more likely to convert
Crosstab
Missing Value
Expression
Rule Engine
This compares country, however there is a unkown makes a signficant amount towards the resutl
Crosstab
This shows the average mean of people being converted coming from different lead sources
GroupBy
Shows the percentage of people converted that did the survey
Value Counter
This compares whether giving a free copy of masting the inverview = customers are more likely to convert
Crosstab
Normalizer
Numeric Outliers
Box Plot
Grouping the average of total time spent on website, total visits, activity score, profile score, page views per visit
GroupBy
Normalizer
Box Plot
to verify that an observation either missed all 4 four variables (activity and profile index/score) or not
Value Counter
Rule Engine
This compares lead sources to whether it matters when it comes to people being converted
Crosstab
Testing the first Hypothesis of whether time spent on website = higher conversion rate + the others
Independent groups t-test
Rule Engine
String Cleaner
Numeric Outliers
k-Means
check for distribution, to decide whether we use median or mean to replace missing data
Histogram
Box Plot
String Cleaner
to verify that an observation either missed all 4 four variables (activity and profile index/score) or not
Value Counter
Missing Value
Rule Engine
Expression
Normalizer
Normalizer
Color Designer (Apply)

Nodes

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Links

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

Download Workflow
Created by: vinhnguyen
Created at: 2026-09-03
On NodePit since: 2026-09-08
Last update: 2026-09-30
Created with KNIME version: v5.12.0

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