"column" (按列), "row" (按行), 或 "cell" (按单元格)。character ("column", "row", "ce...
sum, 'PayDate': 'count', 'interval': np.min }) # make the column names more meaningful salesRFM.rename(columns={ 'PayAmount': 'Monetary', 'PayDate': 'Frequency', 'interval':'Recency' }, inplace=True) salesRFM.head() 代码语言:javascript 代码运行次数:0 运行 AI代码解释 #均值划分 ...
Date(data$Date) # Convert character string column to date data_ts <- xts(data[2:6], data$Date) # Convert data frame to time series data_ts # Print time series class(data_ts) # Check class of time series data_zoo<-as.zoo(data_ts) # convert to zoo ### INITILISATION X<-data_...
scale_fill_manual(values=getPalette(7),breaks =c("Unknown","Building","Skin","Feces","Urine","Mouth","Soil"), labels = paste(c("Unknown","Building","Skin","Feces","Urine","Mouth","Soil"),"(",round(c(new$ratio[new$source=="Unknown"],new$ratio[new$source=="Building"],new$ra...
$ Support(X)= \ frac {frequency(X)} {N} $ 对于规则A => B, 支持如下: $ Support(A => B)= \ frac {frequency(A, B)} {N} $ 注意:P(AUB)是A和B一起出现的概率。 P表示概率。 继续, 尝试找到对Milk => Diaper的支持作为练习。
The table() function gives you a frequency count of all the unique values in a vector, includingTRUEandFALSE. freq_table <- table(logical_vec) print(freq_table) Output: FALSE TRUE 2 3 3. Using the dplyr Package Suppose you are working with a data frame, then dplyr packages will provide...
RFM分析主要由3个指标组成,分别为R(Recency,近度)、F(Frequency频度)、M(Monetary,额度)组成。RFM是三个指标的缩写:Recency:最近一次消费距离现在的时间,该值越小越好;Frequency:某段时间内的消费次数,这个值越大越好;Monetary:某段时间内的消费金额,对于企业来说,消费自然越多越好。这三个维度需要根据实际业务确定...
smote_imp <- lgb.importance(smote_model, percentage = TRUE) ggplot(smote_imp, aes(x = Frequency, y = reorder(Feature, Frequency), fill = Frequency)) + geom_bar(stat = "identity") + scale_fill_gradient(low="steelblue", high="tomato") + geom_text(aes(label = sprintf("%.4f", Freq...
# dplyr frequency table > install.packages('plyr') > library('plyr') > count(mtcars, 'cyl') dplry Frequency Table Example This table is a little more explanatory with the columns and rows labeled. This table includes distinct values, making creating a frequency count or relative frequency ta...
subtitle="Manufacturer of vehicles", caption="Source: Frequency of Manufacturers from 'mpg' dataset") + theme(axis.text.x = element_text(angle=65, vjust=0.6)) 如果只提供 X 并且 stat=identity 没有被设置 1 2 3 4 5 6 7 # From on a categorical column variable g <- ggplot(mpg, aes...