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submitted by: Tedros Gebregergs

It uses Human Activity Recognition Using Smartphones Dataset Version 1.0

Data Set description

  • activities : a data frame of 6 obs. of 2 variables.

    • activity_Id : from 1-6.
    • activity_Label: 1=WALKING, 2=WALKING UPSTAIRS, 3=WALKING DOWNSTAIRS, 4= SITTING, 5=STANDING, 6=LAYING
  • merged_activity : 'data.frame': 10299 obs. of 2 variables:

  • total_Merged_Data : 'data.frame': 10299 obs. of 564 variables

  • data_mean_std : a merged data set on measurements of mean and standard deviation, and combined the three columns of subject_id, activity_id and activity_Label. 10,299 x 69

  • features : a data frame of 561 obs. of 2 variables

    • feature_Id : 1-561
    • feature_Label :
  • Merged_data_with_Activity : a data frame of 10299 obs. of 69 variables: from data_mean_std and merged_activity

  • Merged_with_Mean_Std : a merged data frame of 10299 obs. of 66 variables: without subject_id, activity_id and activity_Label.

  • tidy_mean_std : data set of summary using groups of subject_id, activity_id from Merged_with_Mean_Std , and is 35 x 69.

  • X_train : 'data.frame': 7352 obs. of 561 variables:

  • Y_train : 'data.frame': 7352 obs. of 1 variable:

  • Y_test : 'data.frame': 2947 obs. of 1 variable:

  • subj_test : 'data.frame': 2947 obs. of 1 variable:

  • subj_train : 'data.frame': 7352 obs. of 1 variable

  • subject : 'data.frame': 10299 obs. of 1 variable- a merged.