Hub

23 results

Filter
Filter by tag
Missing Values
ETL Data exploration Education Mistakes Outliers Data access Data manipulation Filter Join
  1. Workflow
    Multipe Imputation for Missing Values
    Missing values Multiple Imputation
    This workflow shows an example for multiple imputation using the R “mice” package to create 5 complete datasets. The analysis - i…
    kathrin > Missing Value Imputation > Mulitple Imputation for Missing Values
    1
    kathrin
  2. Workflow
    Data Cleaning - Solution
    Data exploration Outliers Missing values
    +3
    Solution to exercise 3 for the KNIME Analytics Platform for Data Wranglers course - Explore the properties of the data with the D…
    knime > Education > Courses > L1-DW KNIME Analytics Platform for Data Wranglers - Basics > Solutions > 03_Data_Cleaning_Solution
    1
    knime
  3. Workflow
    Data Cleaning - Exercise
    Data exploration Outliers Missing values
    +3
    Solution to exercise 3 for the KNIME Analytics Platform for Data Wranglers course - Explore the properties of the data with the D…
    hayasaka > KNIME Fall Summit Training 2022 > L1-L2-DW KNIME Analytics Platform for Data Wranglers - Basics to Advanced > Exercises > 03_Data_Cleaning
    0
    hayasaka
  4. Workflow
    Generating Missing Values in Existing Dataset
    Data generation Missing values
    This workflow shows how missing values can be very randomly added to the cells of a column. First split the table into two parts,…
    haoran > Public > 01_Data_Access > 03_Data_Generation > 04_Generating_random_missing_values_in_an_existing_data_set
    0
    haoran
  5. Workflow
    Data Cleaning - Solution
    Data exploration Outliers Missing values
    +3
    Solution to exercise 3 for the KNIME Analytics Platform for Data Wranglers course - Explore the properties of the data with the D…
    hayasaka > KNIME Fall Summit Training 2022 > L1-L2-DW KNIME Analytics Platform for Data Wranglers - Basics to Advanced > Solutions > 03_Data_Cleaning_Solution
    0
    hayasaka
  6. Workflow
    Data Cleaning
    Data exploration Outliers Missing values
    +3
    Solution to exercise 3 for the KNIME Analytics Platform for Data Wranglers course - Explore the properties of the data with the D…
    ztgadmin > Public > L1-DW KNIME Analytics Platform for Data Wranglers - Basics > Exercises > 03_Data_Cleaning
    0
    ztgadmin
  7. Workflow
    Data Cleaning - Solution
    Data exploration Outliers Missing values
    +3
    Solution to exercise 3 for the KNIME Analytics Platform for Data Wranglers course - Explore the properties of the data with the D…
    hayasaka > KNIME Spring Summit Training 2023 > L1-DW KNIME Analytics Platform for Data Wranglers - Basics > Exercises > 03_Data_Cleaning_Exercise
    0
    hayasaka
  8. Workflow
    Data Cleaning - Solution
    Data exploration Outliers Missing values
    +3
    Solution to exercise 3 for the KNIME Analytics Platform for Data Wranglers course - Explore the properties of the data with the D…
    hayasaka > KNIME Spring Summit Training 2023 > L1-DW KNIME Analytics Platform for Data Wranglers - Basics > Solutions > 03_Data_Cleaning_Solution
    0
    hayasaka
  9. Workflow
    Data Cleaning - Exercise
    Data exploration Outliers Missing values
    +3
    Solution to exercise 3 for the KNIME Analytics Platform for Data Wranglers course - Explore the properties of the data with the D…
    mmarsh > Public > Exercises > 03_Data_Cleaning_Exercise
    0
    mmarsh
  10. Workflow
    Data Cleaning - Solution
    Data exploration Outliers Missing values
    +3
    Solution to exercise 3 for the KNIME Analytics Platform for Data Wranglers course - Explore the properties of the data with the D…
    mmarsh > Public > Exercises > Solutions > 03_Data_Cleaning_Solution
    0
    mmarsh
  11. Workflow
    Group 1 Data Access and Data Manipulation
    ETL Data access Preprocessing
    +6
    Tasks for Group 1 in KNIME Data Science Learnathon - Access data - Preprocess data by filtering rows, filtering columns, converti…
    maarit > University Course > Learnathon UM April 21 > Challenges > Group1_Data_Access_and_Data_Manipulation > Group1_Data_Access_and_Data_Manipulation
    0
    maarit
  12. Workflow
    Data Cleaning - Solution
    Data exploration Outliers Missing values
    +3
    Solution to exercise 3 for the KNIME Analytics Platform for Data Wranglers course - Explore the properties of the data with the D…
    marten_kose > Public > L1-L2-DW KNIME Analytics Platform for Data Wranglers_advanced_4.0 > Solutions > 03_Data_Cleaning_Solution
    0
    marten_kose
  13. Workflow
    Data Cleaning - Solution
    Data exploration Outliers Missing values
    +3
    Solution to exercise 3 for the KNIME Analytics Platform for Data Wranglers course - Explore the properties of the data with the D…
    ioneliad > Public > ID_Workflow_Group > L1-DS KNIME Analytics Platform for Data Scientists - Basics > L1-DW KNIME Analytics Platform for Data Wranglers - Basics > Exercises > 03_Data_Cleaning_Exercise
    0
    ioneliad
  14. Workflow
    Comparing Missing Value Handling Methods
    Missing Values Single Imputation
    This workflows compares four missing value handling methods - Listwise Deletion - 0 imputatition - Mean & most frequent impuation…
    kathrin > Missing Value Imputation > Comparing Missing Value Handling Methods
    0
    kathrin
  15. Workflow
    Group 1 Data Access and Data Manipulation
    ETL Data access Preprocessing
    +6
    Solution to the tasks for Group 1 in KNIME Data Science Learnathon - Access data - Preprocess data by filtering rows, filtering c…
    knime > Education > Learnathons > From_Raw_Data_To_Deployment > Learnathon-Solutions > Group1_Data_Access_and_Data_Manipulation > Group1_Data_Access_and_Data_Manipulation
    0
    knime
  16. Workflow
    Group 1 Data Access and Data Manipulation
    ETL Data access Preprocessing
    +6
    Tasks for Group 1 in KNIME Data Science Learnathon - Access data - Preprocess data by filtering rows, filtering columns, converti…
    knime > Education > Learnathons > From_Raw_Data_To_Deployment > Learnathon > Challenges > Group1_Data_Access_and_Data_Manipulation > Group1_Data_Access_and_Data_Manipulation
    0
    knime
  17. Workflow
    Data Cleaning
    Data exploration Outliers Missing values
    +3
    Solution to exercise 3 for the KNIME Analytics Platform for Data Wranglers course - Explore the properties of the data with the D…
    scottf > Public > L1-DW Version 4.3 > Exercises > 03_Data_Cleaning
    0
    scottf
  18. Workflow
    Data Cleaning - Solution
    Data exploration Outliers Missing values
    +3
    Solution to exercise 3 for the KNIME Analytics Platform for Data Wranglers course - Explore the properties of the data with the D…
    scottf > Public > L1-DW Version 4.3 > Solutions > 03_Data_Cleaning_Solution
    0
    scottf
  19. Workflow
    Looping over Every Column
    Data Manipulation Looping Missing Values
    This workflow demonstrates how to loop over every column from input data and replace specific character/string with missing value…
    ipazin > Public > 2019_12_11_Looping_over_Every_Column
    0
    ipazin
  20. Workflow
    Data Cleaning - Solution
    Data exploration Outliers Missing values
    +3
    Solution to exercise 3 for the KNIME Analytics Platform for Data Wranglers course - Explore the properties of the data with the D…
    knime > Education > Courses > L1-DW KNIME Analytics Platform for Data Wranglers - Basics > Exercises > 03_Data_Cleaning_Exercise
    0
    knime