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Questions tagged [churn]

Code churn measures quantify how much change is occurring in your project.

Code churn measures quantify how much change is occurring in your project. In general, high levels of churn indicate project instability. You should expect high rates of churn at the start of a product cycle or after the team has implemented many changes. Toward the end of an iteration or before a release, you should expect the level of churn to decrease, which indicates that your project is more stable.

See http://msdn.microsoft.com/en-us/library/ms244661%28v=vs.110%29.aspx

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Ruby churn requires churn (>= 0) on installation

I am trying to install metrical and it fails with gem install metrical ERROR: Error installing metrical: churn requires churn (>= 0) Trying the following also gives errors. gem install churn ERROR: Error installing churn: churn requires…
kmitov
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Need to divide a Dataframe in various tables using multiple categories and date time

this is my first time asking a question here, so if I'm doing something wrong please guide me to the right place. I have a big and clean dataset. (29000+ , 24). The thing is that I have to calculate the churn rate based on 4 different categorical…
Juan Pablo Clavijo
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Advice for Fourier Analysis on Customer Transaction Data

I am currently working on a strategy for companies to reduce churn and monitor customer health using business intelligence from applying a Fourier transform to customer transaction data. Many businesses have customers with cyclic spending habits,…
Jacob Saki
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Retention rate - how to treat return subscriber

I'm calculating a retention rate for website subscribers- users that pay monthly/annually for the site. A Leaving subscriber is one that stops paying money for the site. If a leaving subscriber returns to the site, he will get the same subscriber…
Amit S
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How to filter and group data imported from several tables in Redshift?

Nice to meet you, dear community! I want to select users from several tables who performed their last event not later than 7 days since registration day and group them by their start version. However, the number of select users is quite low, could…
Liliia Lutsenko
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I have errors creating a customer churn tree classification in RStudio

This is the code: churn_ctree <- rpart(Churn ~ . - churn1 - PaperlessBilling - customerID, data = churn_train, method = "class”) This is the error message and data frame:
Intrepid W
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Supervised ML to predict customer churn

I am working on my master thesis, my topic is customer churn prediction, I haven't found any proper dataset to work with, please help me if you have any dataset regarding this. thanks!:)
Tannaz
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How to label Churn/Not Churn and perform Survival Analysis on Transactional Data without Subscription

I have longitudinal transaction data of a retail store where each row is a transaction done by an individual. I would like to perform a survival analysis to analyse how long a customer will transact before churning. I am planning to use Cox…
krishna koti
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How can I divide data from the current week by data from the previous week in google data studio?

I am trying to calculate weekly retention rate in google data studio - I have the number of returning customers and trying to divide this by the number of customers ordering in the previous week. Attached is a table to show what I am looking at. In…
Imi Hamer
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Using bartCause package to predict uplift

I'm trying to use the bartCause package to build an uplift model in R. Unfortunately I have trouble to integrate the data frame in the right way - error message: $<-.data.frame`(`*tmp*`, "lift", value = c(0.159231848781688, : replacement has 160…
Marcel
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How to test churn prediction using the data in performance window

I am working on churn prediction. The observation and performance windows are sliced as below: # use user last n.th mounth and create userpofile from this # |## observed period - user profile # |##perdict period-chur or not###| # |<- …
zdz
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How to count monthly retention user in bigquery?

I have raw data as below. With each line is the record of an transaction of user, and the month when they made the transaction What I want is to calculate the number of user who made order in a month and the number of repeated user (RETENTION)…
Anh Hoang
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Churn model in Python?

Churn rate - in its broadest sense, is a measure of the number of individuals or items moving out of a collective group over a specific perio. My question is what can I investigate in churn model by using logistic regression using Python?
Adrian
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ValueError : Pandas data cast to numpy dtype of object. Check input data with np.asarray(data)

I am trying to predict churn of telecom user by logistic regression model, I am getting ValueError: Pandas data cast to numpy dtype of object. Check input data with np.asarray(data). # Putting feature variable to X X =…
Kalyan Mohanty
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When should one use time series analysis vs. non-time series analysis?

I am trying to predict churn and for this my dependent variable is a binary variable. The independent variables can be categorical, integer or timeseries data. I am in the feature selection mode and will like to know if I am running correlation,…
Eva Shah
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