Ye Hu
Ye Hu
  • Видео 96
  • Просмотров 206 712
Excel Table Basics
Basic operations of an Excel data table
RUclips users who are not students of UH may download the data file using the following Patreon link (subscription required):
www.patreon.com/posts/data-files-for-71155184
Просмотров: 543

Видео

Using regression for prediction & performance measure using ROC (receiver operating characteristic)
Просмотров 1086 месяцев назад
Using regression for prediction & performance measure using ROC (receiver operating characteristic)
K-means Cluster Analysis in Excel
Просмотров 2956 месяцев назад
K-means Cluster Analysis in Excel
Using Excel solver to find optimal warehouse locations (updated)
Просмотров 2,3 тыс.11 месяцев назад
Where is the optimal warehouse location to minimize shipping cost? Why is Lexington, KY an appealing logistic location? RUclips users who are not students of UH may download the data file using the following Patreon link (subscription required): www.patreon.com/posts/data-files-for-72826747
Using Excel evolutionary solver to find the shortest distance for a traveling salesperson (updated)
Просмотров 1,4 тыс.11 месяцев назад
What is the optimal route for a business trip of multiple cities? RUclips users who are not students of UH may download the data file using the following Patreon link (subscription required): www.patreon.com/posts/data-files-for-72826747
Using Excel to Segment Customer in an RFM Framework (updated)
Просмотров 2,2 тыс.Год назад
Method: widely adopted RFM (Recency, Frequency, Monetary) framework for customer relationship management and targeting. RUclips users who are not students of UH may download the data file using the following Patreon link (subscription required): www.patreon.com/posts/data-files-for-72016448
Using pivot table and chart to summarize Major League Baseball (MLB) players birth months (updated)
Просмотров 998Год назад
Excel covered: MONTH, DAY, Pivot Table, Column Chart, Scatter Chart RUclips users who are not students of UH may download the data file using the following Patreon link (subscription required): www.patreon.com/posts/data-files-for-71515312
Using the stand-alone CASA monitor for your exam
Просмотров 1,7 тыс.Год назад
Using the stand-alone CASA monitor for your exam
Copy Excel Functions
Просмотров 465Год назад
Copy Excel Functions
Excel Add ins
Просмотров 3,3 тыс.Год назад
Excel Add ins
Using Excel's goal seek to price ad at a target ROI
Просмотров 1,6 тыс.Год назад
Excel function used: goal seek RUclips users who are not students of UH may download the data file using the following Patreon link (subscription required): www.patreon.com/posts/data-files-for-71223065
Optimize salesforce effort allocation
Просмотров 2 тыс.Год назад
Using Excel's solver function demonstrate how to optimize salesforce time allocation. RUclips users who are not students of UH may download the data file using the following Patreon link (subscription required): www.patreon.com/posts/three-excel-data-75231638
Oil Drilling Regression
Просмотров 1,9 тыс.Год назад
Using Excel's regression function demonstrate how to analyze performance of oil drilling rigs and interpret the results. RUclips users who are not students of UH may download the data file using the following Patreon link (subscription required): www.patreon.com/posts/three-excel-data-75231638
Pricing movie tickets
Просмотров 2,4 тыс.Год назад
Using Excel's solver function demonstrate how to optimize a movie theater's ticket price. RUclips users who are not students of UH may download the data file using the following Patreon link (subscription required): www.patreon.com/posts/three-excel-data-75231638
Set up a conjoint analysis in conjointly
Просмотров 2,2 тыс.Год назад
Set up a conjoint analysis in conjointly
Marketing Analytics: New Product Design and Conjoint Analysis
Просмотров 2,2 тыс.Год назад
Marketing Analytics: New Product Design and Conjoint Analysis
Using Excel to run opening box office regression
Просмотров 3,3 тыс.Год назад
Using Excel to run opening box office regression
Marketing Analytics: Predicting Customer Behavior Using Regression
Просмотров 2,5 тыс.Год назад
Marketing Analytics: Predicting Customer Behavior Using Regression
Why sample size matters?
Просмотров 1 тыс.Год назад
Why sample size matters?
Analyzing experiment data using t-tests
Просмотров 1,4 тыс.Год назад
Analyzing experiment data using t-tests
Generating random numbers in Excel
Просмотров 1,2 тыс.Год назад
Generating random numbers in Excel
Distributions of Experiment Results
Просмотров 1,1 тыс.Год назад
Distributions of Experiment Results
Marketing Analytics: Promotion and Experiments
Просмотров 1,2 тыс.Год назад
Marketing Analytics: Promotion and Experiments
Using Excel to map Costco and Sam's Club stores in each state
Просмотров 1,3 тыс.Год назад
Using Excel to map Costco and Sam's Club stores in each state
Using Excel evolutionary solver to find the shortest distance for a traveling salesperson
Просмотров 3 тыс.Год назад
Using Excel evolutionary solver to find the shortest distance for a traveling salesperson
Using Excel solver to optimize salesforce effort in detailing
Просмотров 1,7 тыс.Год назад
Using Excel solver to optimize salesforce effort in detailing
Using Excel solver to find optimal warehouse locations
Просмотров 8 тыс.Год назад
Using Excel solver to find optimal warehouse locations
Marketing Analytics: Place Analytics
Просмотров 1,1 тыс.Год назад
Marketing Analytics: Place Analytics
Using solver for product tie-in pricing: Razors and Blades
Просмотров 2,1 тыс.Год назад
Using solver for product tie-in pricing: Razors and Blades
Using Trendline on a scatter chart to find the demand curve
Просмотров 1,7 тыс.Год назад
Using Trendline on a scatter chart to find the demand curve

Комментарии

  • @alirezasharifabadi
    @alirezasharifabadi 7 дней назад

    Thank you for the great educational video! I want to ask a question about the RFM chart. If the number of years a customer has been with us falls below one and becomes a decimal (indicating the customer has been with us for less than a year), when we divide it by the number of purchases, it results in a large number. What should we do in this case? One solution I thought of is to round decimal numbers up to one. Is that correct?

    • @YeHu4ps
      @YeHu4ps 7 дней назад

      It would make more sense plug in the median purchases per year for new customers, since you have very little information about them and may as well treat them as an "average customer." Without established purchasing frequency, directly dividing the number of purchases by "years" of new customers can be misleading. Rounding it up to one is still arbitrary.

    • @alirezasharifabadi
      @alirezasharifabadi 2 дня назад

      @@YeHu4ps The question that arises here is that a customer may not have reached a full year of lifetime yet, but within that short period, they might have made several purchases, thus creating significant value for the organization. Naturally, if they continue this behavior, they could become one of the loyal customers. Now, if we consider the average, we might miss out on the unique behavior of such customers.

  • @planty9636
    @planty9636 10 дней назад

    Muchas gracias 🙏🏻🙏🏻🙏🏻

  • @ismailradwan8279
    @ismailradwan8279 10 дней назад

    Amazing

  • @makeithappen21
    @makeithappen21 16 дней назад

    This is amazing info, this will help me in my business

  • @isaaccombs61
    @isaaccombs61 17 дней назад

    bahahaha best teacher ive had. Great intro.

  • @Cannedidea
    @Cannedidea 23 дня назад

    What is the point of Calculating the adjustment rating for Gabriel? If you could just sum product her actual ratings with the similarities. And if you wanted to find what the adjustment was you could just subtract the prediction from the mean. I get that it shows how much weight each movie had on the adjustment...but why is that even important? Once you have a predicted rating you can just use that as the basis of a recommendation.

  • @Cannedidea
    @Cannedidea Месяц назад

    You can also look up the values with Index(match)

  • @markleonard4635
    @markleonard4635 Месяц назад

    First i would like to say thank you so much for your videos, though im having issues with this one given exactly the same steps CLV per customer is coming out as 270.2 and beginning of year as 310.7 and the 2 dimensional table to include for the interest rate is being stuck on showing the same 15% interest rate values for every column so basically just the single dimensional table but treating every interest rate column as if it was 15%. Any correction or help with this would be greatly appreciated.

  • @季元亓
    @季元亓 2 месяца назад

    Hello Ye why we use this formula

  • @giselleruiz7531
    @giselleruiz7531 2 месяца назад

    Is this for user-user or item-item collaboration?

    • @YeHu4ps
      @YeHu4ps 2 месяца назад

      @@giselleruiz7531 This is user based collaborative filtering.

  • @ing.franciscolopez7588
    @ing.franciscolopez7588 2 месяца назад

    how to calculate hoy many warehouses i need for next deploy the location analysys?

  • @DiannMoonlight
    @DiannMoonlight 5 месяцев назад

    I wish you were my professor! Such a precise and clear examples!

  • @DiannMoonlight
    @DiannMoonlight 5 месяцев назад

    Thank you! I just got hired as a Marketing Analyst and this Course will surely help me a lot!

  • @MinhNguyen-hk6xk
    @MinhNguyen-hk6xk 5 месяцев назад

    Thanks so much for the video. Can you give me a hint how to apply the video to solve my problem? We have a headquarters' location fixed and we want to find optimal location for several branches.

    • @YeHu4ps
      @YeHu4ps 5 месяцев назад

      It sounds like the "branches" are like the "warehouses" in this video. The specific setup depends on what you are trying to optimize.

  • @iamfavoured9142
    @iamfavoured9142 5 месяцев назад

    This video deserves more views and your channel deserves much more subscribers. Thank you so much

    • @YeHu4ps
      @YeHu4ps 5 месяцев назад

      Wow, thank you!

  • @JakeGagliardi-mg5he
    @JakeGagliardi-mg5he 5 месяцев назад

    How did you pull the original data? I am having trouble finding a place to get the statistics from.

  • @ifejikaanthony2746
    @ifejikaanthony2746 7 месяцев назад

    Can this strategy be used in a retail business

    • @YeHu4ps
      @YeHu4ps 7 месяцев назад

      Yes, when you sell multiple brands in the same product category. A common example is store brands vs. national brands.

    • @ifejikaanthony2746
      @ifejikaanthony2746 7 месяцев назад

      @@YeHu4ps Thanks for the info

  • @TheFullSalesCycle
    @TheFullSalesCycle 7 месяцев назад

    Great video. This is what I needed for my sales calls to show ROI on investment. Cheers!

  • @AubreyWashington-y5q
    @AubreyWashington-y5q 7 месяцев назад

    This helped me so much thank you!

  • @clintjakealfante3101
    @clintjakealfante3101 10 месяцев назад

    Is there any way for me to download the data file aside from patreon? I don't have Patreon, but I would like a copy of the data file.

  • @vrpriceactiontrades9006
    @vrpriceactiontrades9006 10 месяцев назад

    what is total number of shipments sir , without fixing warehouse how can determine total no of shipments

    • @YeHu4ps
      @YeHu4ps 10 месяцев назад

      Warehouse location has nothing to do with shipment. Imagine Amazon, shipments are how many products Amazon sells in each region. An optimal warehouse location would minimize the total cost of shipments.

  • @gracelee3474
    @gracelee3474 11 месяцев назад

    how do you determine the demand equation?

    • @YeHu4ps
      @YeHu4ps 11 месяцев назад

      ruclips.net/video/PHU6pWPpb6w/видео.htmlsi=5QeVHAurILd3xfBw

  • @nann1028
    @nann1028 11 месяцев назад

    Hello, thank you for your detailed explanations! What about if there are existing warehouses in the network, and you’re trying to solve for where the next warehouse should be?

    • @YeHu4ps
      @YeHu4ps 11 месяцев назад

      In the two warehouses case, fix the location of one of the warehouses (existing). Use both warehouses to calculate the total shipping cost, and then minimize the cost by solving for only the location of the second warehouse.

    • @nann1028
      @nann1028 11 месяцев назад

      Got it. Thank you so much!

  • @jaditau8803
    @jaditau8803 Год назад

    i need the xls file. ...can you help me..?

  • @mattmatt245
    @mattmatt245 Год назад

    It seems kind of pointless to create a bundle when there's no discount involved. What's the point, just buy two separate tickets.

    • @YeHu4ps
      @YeHu4ps Год назад

      The kind of people who "just buy two separate tickets" have high WTP for both shows. Bundling prompt people who are lukewarm to one show and like the other to buy the bundle. They would likely otherwise only buy one ticket. The point of the bundle is to separate people with different WTP structure.

  • @andrewsaysyes
    @andrewsaysyes Год назад

    If I was to hypothetically calculate the "cost" of said DC(s) I can use a cost per mile value on top of the distance × #shipments? Also, I could extrapolate this out to 3, 4, 5, DCs by updating new min distance columns, and changing the solver for new line of lat/long?

    • @YeHu4ps
      @YeHu4ps Год назад

      Yes, you can factor in the costs of shipping. And yes, you can extrapolate this to more warehouses, similar to what the video does from one warehouse to two warehouses.

  • @FerasAlharbi-t8g
    @FerasAlharbi-t8g Год назад

    Thank you a lot for this video! Just one question, if I have the perfect segment. how to chose/shift or create a specific table for the specific segment? Thank you again.

  • @bincybimmi2919
    @bincybimmi2919 Год назад

    Whether date( column c ) here is last purchase date ?

    • @YeHu4ps
      @YeHu4ps Год назад

      Date of the specific transaction for the specific customer.

  • @jayank.t6150
    @jayank.t6150 Год назад

    Very useful . Thanks you

  • @sssam844
    @sssam844 Год назад

    This was really helpful, thank you very much ❤

  • @WunmiXP
    @WunmiXP Год назад

    Hello Ye, Thank you very much for sharing this simplified process of conducting an RFM analysis with us at no cost. I now have a better understanding of the process and feel confident to solve my assignments and even more optimistic about acing my finals. Also, I feel closer to being an Excel power user just by learning from you. Thank you very much, I am delighted because I feel intelligent knowing how to conduct an RFM analysis.

  • @icangetyoursnap
    @icangetyoursnap Год назад

    2x speed

  • @RamiTeachesEnglish
    @RamiTeachesEnglish Год назад

    good info thanks a lot

  • @luxuriousdreams1
    @luxuriousdreams1 Год назад

    Thanks for the info!!

  • @rtxwardaddy8785
    @rtxwardaddy8785 Год назад

    i always suck in this, thanks for video

  • @darthaddius
    @darthaddius Год назад

    Never knew how to do this, thanks

  • @EliotPearson
    @EliotPearson Год назад

    I like how your educating your student and people how aren't your student. You give them access to data file through Patreon. That's a very cool model that you created.

  • @janettehwa384
    @janettehwa384 Год назад

    Thanks a lot- a comment from two yrs later

  • @photoshopspeedorial
    @photoshopspeedorial Год назад

    So useful! Nice!

  • @initforthestory7405
    @initforthestory7405 Год назад

    Thanks!

  • @ngodmaa
    @ngodmaa Год назад

    Great Video - let's do it

  • @syler77able
    @syler77able Год назад

    Nice vid solid info!

  • @T9Virus
    @T9Virus Год назад

    Very nice and informative too. Nice work.

  • @gregorypittz3268
    @gregorypittz3268 Год назад

    Helpful stuff! (Don’t sub to this channel please!)

  • @adrianiphonemaxgameplay
    @adrianiphonemaxgameplay Год назад

    Coool video my friend thank you for sharing ❤😊

  • @hahaclintondix5972
    @hahaclintondix5972 Год назад

    I definitely needed to brush up on my excel skills. Thank you for this 🔥🔥

  • @imsadiknow6497
    @imsadiknow6497 Год назад

    big brain

  • @pistilxgaming
    @pistilxgaming Год назад

    🧠

  • @Bleachpie8
    @Bleachpie8 Год назад

    excellent video. looking forward to watching more, so keep up the great work!

  • @drew5834
    @drew5834 Год назад

    great timing I was looking for a tool to help advise on next warehouse location.. thanks Ye Hu, great work..