Simple SPSS
Simple SPSS
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Відео

Business Analytics using R for MBA/PGDM: Association Rules Concept
Переглядів 2524 роки тому
This video is to understand the Association Rules concept in a simple and easy way.
Business Analytics using R for MBA/PGDM: K-means Clustering using R
Переглядів 3144 роки тому
This video is to understand the K-means Clustering using R in a simple and easy way
Business Analytics using R for MBA/PGDM: K- Means Clustering Concept
Переглядів 2514 роки тому
This video is to understand the K- Means clustering concept in a simple and easy way.
Business Analytics using R for MBA/PGDM: Hierarchical Clustering using R
Переглядів 2524 роки тому
This video is to understand how to do the Hierarchical Clustering using R in a simple and easy way
Business Analytics using R for MBA/PGDM: Hierarchical Clustering Concept
Переглядів 3084 роки тому
This video is to understand the Hierarchical clustering concept.
Business Analytics using R for MBA/PGDM: Conjoint Analysis-Step 8
Переглядів 3714 роки тому
This video is to understand the Conjoint analysis using R in a simple and easy way.
Business Analytics using R for MBA/PGDM: Conjoint Analysis-Step 7
Переглядів 3084 роки тому
This video is to understand the Conjoint analysis using R in a simple and easy way
Business Analytics using R for MBA/PGDM: Conjoint Analysis- Step 6
Переглядів 3614 роки тому
This video is to understand how to analyse Conjoint function using R.
Business analytics using R for MBA/PGDM: Conjoint Analysis- Step 5
Переглядів 4454 роки тому
This video is to understand conjoint analysis using R.
Business Analytics using R for MBA/PGDM: Conjoint Analysis- Step 4
Переглядів 3954 роки тому
This video is to understand how to analyse Conjoint analysis using R.
Business Analytics using R software for MBA/PGDM: Conjoint Analysis-Step 3
Переглядів 4524 роки тому
This video is to understand the conjoint analysis technique using R.
Business Analytics for MBA/PGDM: Conjoint Analysis using R- Step 2
Переглядів 4904 роки тому
This video is to understand how to design Conjoint cards using R software.
Business Analytics using R for MBA/PGDM: Conjoint Analysis -Step 1 Install Conjoint Packages
Переглядів 9454 роки тому
This video is to understand how to design Conjoint cards using Orthogonal Design.
Business Analytics for MBA/PGDM: Conjoint Analysis Concept
Переглядів 6964 роки тому
This video is to understand the concept of conjoint analysis
Business Analytics for MBA/PGDM using R software: Creating a data frame
Переглядів 1254 роки тому
Business Analytics for MBA/PGDM using R software: Creating a data frame
Business Analytics using R for MBA/PGDM- Importing the dataset
Переглядів 1654 роки тому
Business Analytics using R for MBA/PGDM- Importing the dataset
Business Analytics using R software: Getting Started
Переглядів 3294 роки тому
Business Analytics using R software: Getting Started
R software installation (Business Analytics for MBA/PGDM)
Переглядів 1794 роки тому
R software installation (Business Analytics for MBA/PGDM)
Exploratory Factor Analysis: Step 5/5 Rotated Factor Matrix (Business Analytics for MBA/PGDM)
Переглядів 3,9 тис.4 роки тому
Exploratory Factor Analysis: Step 5/5 Rotated Factor Matrix (Business Analytics for MBA/PGDM)
Exploratory Factor Analysis: Step 4/5 -Scree Plot Interpretation (Business Analytics for MBA/PGDM)
Переглядів 6 тис.4 роки тому
Exploratory Factor Analysis: Step 4/5 -Scree Plot Interpretation (Business Analytics for MBA/PGDM)
Exploratory Factor Analysis: Step 3/5 -Total Variance Explained (Business Analytics for MBA/PGDM)
Переглядів 7 тис.4 роки тому
Exploratory Factor Analysis: Step 3/5 -Total Variance Explained (Business Analytics for MBA/PGDM)
Exploratory Factor Analysis: Step 2/5 -Communalities (Business Analytics for MBA/PGDM)
Переглядів 8 тис.4 роки тому
Exploratory Factor Analysis: Step 2/5 -Communalities (Business Analytics for MBA/PGDM)
Exploratory Factor Analysis: Step 1/5 - KMO & Barlett Test (Business Analytics for MBA/PGDM)
Переглядів 10 тис.4 роки тому
Exploratory Factor Analysis: Step 1/5 - KMO & Barlett Test (Business Analytics for MBA/PGDM)
Exploratory Factor Analysis Step by Step - Step 0/5 : Rotation Identification
Переглядів 1,8 тис.4 роки тому
Exploratory Factor Analysis Step by Step - Step 0/5 : Rotation Identification
Factor Analysis Concept
Переглядів 8 тис.4 роки тому
Factor Analysis Concept
Monte Carlo Simulation using Excel -Step by Step (Business Analytics for MBA/PGDM)
Переглядів 3,5 тис.4 роки тому
Monte Carlo Simulation using Excel -Step by Step (Business Analytics for MBA/PGDM)
Time Series Analysis-ARIMA Model using R software : A step by step approach
Переглядів 85 тис.4 роки тому
Time Series Analysis-ARIMA Model using R software : A step by step approach
Time Series Analysis ARIMA Autoregressive integrated Moving Average Concept
Переглядів 26 тис.4 роки тому
Time Series Analysis ARIMA Autoregressive integrated Moving Average Concept
Linear Programming Problem/Linear Optimization using Excel step by step Maximization using LPP
Переглядів 1,1 тис.4 роки тому
Linear Programming Problem/Linear Optimization using Excel step by step Maximization using LPP

КОМЕНТАРІ

  • @RituSingh-we6uw
    @RituSingh-we6uw Місяць тому

    Sir my forecasting point is same value

  • @furfun265
    @furfun265 2 місяці тому

    Nice, thank you for the video. However why you didn't do Training and Testing?

  • @thegirlwithdreams7429
    @thegirlwithdreams7429 3 місяці тому

    How can i talk to you

  • @thegirlwithdreams7429
    @thegirlwithdreams7429 3 місяці тому

    Hello may i talk you

  • @nabil-ns7bjt
    @nabil-ns7bjt 4 місяці тому

    Thank you professor

  • @itz_me_sick_gutz
    @itz_me_sick_gutz 6 місяців тому

    Amazing video, thank you for the explanation, sir.

  • @DejeneChala-z1t
    @DejeneChala-z1t 7 місяців тому

    Hi insightful video but you have interpreted the Box Ljung test incorrectly!

  • @DB-kv3wu
    @DB-kv3wu 9 місяців тому

    Awesome! For the first time, best guidance i have got. The lecture is informative. Great thanks!

  • @VARUNKUMAR-gz6qk
    @VARUNKUMAR-gz6qk 9 місяців тому

    hello sir, I have one doubt u not did any differerence but auto.arima gives d as 2 why its like this?

  • @truthseeker9988
    @truthseeker9988 10 місяців тому

    Last week I called Joseph and he said that “Don not go Monte Carlo. Because I lost everything in gamble! Gamble is Sin!” In my opinion, do not use this method!

  • @susmitachawlia148
    @susmitachawlia148 10 місяців тому

    how do it works with the date, like 21/03/2024?

  • @VibeZ_1221
    @VibeZ_1221 11 місяців тому

    the best explanation i found out after browsing through so many other videos

  • @kirtimittal3325
    @kirtimittal3325 11 місяців тому

    Very useful video sir. Sir if possible please upload videos for confirmatory factor analysis.

  • @ملاكملاكي-ز3ج
    @ملاكملاكي-ز3ج Рік тому

    ممكن ترجمه عربي

  • @ansalvi495
    @ansalvi495 Рік тому

    Thanks

  • @hammadkhan5973
    @hammadkhan5973 Рік тому

    one of the best videos i have ever seen about R. sir great job...not the best job

  • @JyothirmayiPalaparthi
    @JyothirmayiPalaparthi Рік тому

    Dear Prof, Thank you so much. I am working on the ARIMA model for the forecast and following what you have said. Series qualified as stationary. The Sigma^2 is too large for my model like 1.107e+10. My data has too many zeros and the forecasts show the same values for the next ten years. Can I still use this ARIMA model to forecast?

  • @A.V249
    @A.V249 Рік тому

    Thankyou for the video, Sir. But you have used 0.05 and 0.5 interchangeably multiple times. especially while you were explaining communalities. Please check that as it is very confusing for those learning from this video

  • @tsiab8796
    @tsiab8796 Рік тому

    thanks sir what about communalities for minimum data set

  • @parimitasaikia837
    @parimitasaikia837 Рік тому

    @ SimpleSPSS: How can we apply this model to multiple columns. Please help regarding this

  • @vanexmuyali5905
    @vanexmuyali5905 Рік тому

    thank you so much, wanted to inquire about how to test the model by using the model to show some current values in the table

  • @SaraM.AhmadAlshekh
    @SaraM.AhmadAlshekh Рік тому

    very helpful, thank you so much. very clear much appreciated sir.

  • @pakwidi531
    @pakwidi531 Рік тому

    yeah sir, you are going in very smooth way. Thank you very much. #Respect

  • @folashadedada4775
    @folashadedada4775 Рік тому

    Thank you for this video, i got the same values when i tried to forecast for the dataset i am working on, how do i resolve this please as it shouldn't be the same. thanks

  • @shilpasharma5213
    @shilpasharma5213 Рік тому

    Can I get codes for doing hierarchical clustering using wards method at R studio

  • @nidhidhankhar8220
    @nidhidhankhar8220 Рік тому

    What's the code for formulating the model of arima with drift Include.drift=true is not working. Is there any pre package we have to install to perform drift code

  • @raghubm1443
    @raghubm1443 Рік тому

    What communalities Indicate? What is the meaning?

  • @nishantchandra6198
    @nishantchandra6198 Рік тому

    thank you soo much friend its really helped me and you explain it very efficiently. thank you sir

  • @christopherbrown576
    @christopherbrown576 Рік тому

    This helped a lot thank you

  • @NehaAgarwal-sg6fg
    @NehaAgarwal-sg6fg Рік тому

    I have a ques that when will use attach() function

    • @asraarahmed4765
      @asraarahmed4765 Рік тому

      Attach will help r software to read the dataset columns readily. That is you need not use long code like $ sign to select each time

    • @asraarahmed4765
      @asraarahmed4765 Рік тому

      Attach function will help R to read all the column names present in the dataset. No need to write dataset name and column /Variable name again and again in code.

  • @yusufhaji9091
    @yusufhaji9091 2 роки тому

    Thank you very much sir, it has been helpful to carry out my project using your tutorial may God bless you,am Yusuf haji from Kenya

  • @top01percent
    @top01percent 2 роки тому

    Sir, thank you so much. I did not expect to find a video that could help me this much, I am currently working on a project of such analyze and this video really helped me.

    • @DB-kv3wu
      @DB-kv3wu 9 місяців тому

      You are right, it was very nice and anybody canlm learn from it.

  • @jamesleleji6984
    @jamesleleji6984 2 роки тому

    How do you report on the coefficients? Thanks

  • @SwavimanKumar
    @SwavimanKumar 2 роки тому

    Could you please share the xlsx file? Your teaching is very intuitive. I want to replicate what you did and learn. Thank you.

  • @martinholloway5423
    @martinholloway5423 2 роки тому

    Sir, I like your video; it is the easiest to follow that I have come across. Unfortunately, I am still struggling with R and getting the data frame to convert to a ts object. I have 3 years of daily data which was thinking of showing as monthly. Should I recalculate my raw data and pre-convert this to monthly. What would the coding be to convert this data-frame? Thanks.

    • @xerxesuo
      @xerxesuo 2 роки тому

      Hello there, I had something similar. Here is my code require(tidyverse) data <- df_week %>% group_by(week = format(TRANSACTION_DATE, '%Y-%U')) %>% summarise_if(is.numeric, sum) And then split the colum into a year and a separate week: data_splitted <- data %>% separate(week, c('YEAR', "WEEK")) then I grouped each dataobject per year: Data2018 <- data_splitted %>% filter(data_splitted$YEAR == 2018)

  • @viratverma4898
    @viratverma4898 2 роки тому

    My Rstudio shoes error in getting the forecast and tseries package what do i do

  • @nikhilmodak4108
    @nikhilmodak4108 2 роки тому

    Good day, I tried qtr timeseries 2006 onwards. However if i give 2006.1 2006.2, 2006.3,.......... 2002.3 then I am getting an error msg. Hence, I gave 3,6,9,......,81 and got the forecast with frequency of 4. However I know it is wrong.. how to get around this problem

  • @digipak07
    @digipak07 2 роки тому

    How to do time series analysis on categorical data?

  • @mariusshizzl1820
    @mariusshizzl1820 2 роки тому

    s/o to the homie ! helped me a lot

  • @TheOraware
    @TheOraware 2 роки тому

    what do you mean by autocorrelation should not be there? There is no condition for stationary data must have no autocorrelation, where did you read it?

  • @amankwahseth4536
    @amankwahseth4536 2 роки тому

    Sir please what are the necessary packages to be installed

  • @amankwahseth4536
    @amankwahseth4536 2 роки тому

    Adf test is not installed I’ve tried many options it’s just not working for the dataset it’s a yearly data set

  • @mohammadi1076
    @mohammadi1076 2 роки тому

    Dear Sir, how to do winter's additive or mulltiplicative model?

  • @rajashreenath3885
    @rajashreenath3885 2 роки тому

    Sir Is there any video for multivariate time series in R

  • @ElniShow
    @ElniShow 2 роки тому

    Excellent Explanation! But I have a question, sir. I have no trouble in executing acf(dataname) but if I do this 👉 acf(log(dataname)) it says"Error in plot.window(...):need finite 'ylim'values" Can you please help me with this? Thank you, in advance.

  • @sreejitachandra2135
    @sreejitachandra2135 2 роки тому

    My point forecast are coming as constant values.

  • @wuzhen5089
    @wuzhen5089 2 роки тому

    Thank you very much. This video saves my life😂. But I wonder Arima is for short-term forecasting?

  • @udoypaul7632
    @udoypaul7632 2 роки тому

    Hello Sir, I find this error while following your video" Error in as.ts(x) : argument "y" is missing, with no default", can you please help me with that. Thank You

  • @yinyi3934
    @yinyi3934 2 роки тому

    Hi Sir, may I ask is it applicable for small sample size of data, for example I have only 10 yearly data, can I use this method to forecast?

    • @yinyi3934
      @yinyi3934 2 роки тому

      I've tried and I gt arima (0 0 0) does it means that it is nt suitable to forecast in arima method as I have small sample data? For small sample data what's other method are suitable?

    • @asraarahmed4765
      @asraarahmed4765 2 роки тому

      You can use moving average forecast or exponential forecast method

  • @WahranRai
    @WahranRai 2 роки тому

    15:58 You dont need ts() in acf, pacf : enter directly acf(gdpmodel$residuals) ...