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Tutorial: Data Cleaning

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  • čas přidán 18. 08. 2024
  • 0:06 - Impossible Values and Response Sets
    3:43 - Missing Data
    7:45 - Outliers
    11:33 - Normality

Komentáře • 16

  • @yvetteb.6890
    @yvetteb.6890 Před 7 lety

    You covered different types of data in a short period of time. This video served my needs well. Thank you.

  • @bronwenpietersen3366
    @bronwenpietersen3366 Před 2 lety

    Really great video. Thanks for simplifying it so much.

  • @cunghoctienganh
    @cunghoctienganh Před 4 lety

    Thanks Meredith Rocchi, This video helps me a lot

  • @Mc7467
    @Mc7467 Před 6 lety

    Thank you so much. You have no idea how much this helped me. I really appreciate it.

  • @kanoknittanjan8000
    @kanoknittanjan8000 Před 5 lety +3

    I do not agree that you automatically calculated for the mean score and used it to fill in the missing value in the data set. What about looking at the answers from other observations with similar conditions and using these info to guess what the missing value should be.

  • @timnemasd
    @timnemasd Před 6 lety

    Thank you so much, this video is a life saver!

  • @satyasadhu9054
    @satyasadhu9054 Před 3 lety

    Why in zreaction time the standard are 1.95 and -1.95? Is it the same with other Analysis as well if I do it? Thanks..

  • @melissayakol
    @melissayakol Před 4 lety

    Please I entered about 600 data and cleaned it without saving the original file
    Is there a way to reverse the cleaning or I'll have to fill it again??

  • @robokidslatam
    @robokidslatam Před 4 lety

    thanks! it was useful

  • @AnishaPurpleBrisonette

    Thank You Love...

  • @anwaremohammed53
    @anwaremohammed53 Před 6 lety

    appealing expression thnxs!!!

  • @oyekolaoluyimikaoloyede8199

    Helpful

  • @Xavicardenas
    @Xavicardenas Před 5 lety

    Why did she say the number 1.96 ? How did she calculate it? Where does it come from? HALP

    • @estherhofmans725
      @estherhofmans725 Před 5 lety +2

      The critical Z score values when using a 95% confidence level are -1.96 and +1.96 standard deviations. resources.esri.com/help/9.3/arcgisdesktop/com/gp_toolref/spatial_statistics_toolbox/what_is_a_z_score_what_is_a_p_value.htm

  • @jinxblaze
    @jinxblaze Před 6 lety

    xD gender is sadly not categorical anymore

  • @melissayakol
    @melissayakol Před 4 lety

    Please I entered about 600 data and cleaned it without saving the original file
    Is there a way to reverse the cleaning or I'll have to fill it again