我正在研究工作中的数据科学项目，我的目标是提供庞大数据集的摘要。
例如，我想知道有多少客户订购过House Brand一次，两次，两次以上。 有多少人订购了自有品牌和非家居品牌？ 只有非家居品牌订购了多少？
我怎样才能做到这一点？
样本数据集
PRODUCT_SUB_LINE_DESCR MAJOR_CATEGORY_DESCR CUST_REGION_DESCR
SUNDRY SMALL EQUIP NORTH EAST REGION
SUNDRY SMALL EQUIP SOUTH EAST REGION
SUNDRY SMALL EQUIP SOUTH EAST REGION
SUNDRY SMALL EQUIP NORTH EAST REGION
SUNDRY PREVENTIVE SOUTH CENTRAL REGION
SUNDRY PREVENTIVE SOUTH EAST REGION
SUNDRY PREVENTIVE SOUTH EAST REGION
SUNDRY SMALL EQUIP NORTH CENTRAL REGION
SUNDRY SMALL EQUIP MOUNTAIN WEST REGION
SUNDRY SMALL EQUIP MOUNTAIN WEST REGION
SUNDRY COMPOSITE NORTH CENTRAL REGION
SUNDRY COMPOSITE NORTH CENTRAL REGION
SUNDRY COMPOSITE OHIO VALLEY REGION
SUNDRY COMPOSITE NORTH EAST REGION
Sales QtySold MFGCOST MarginDollars new_ProductName
209.97 3 134.55 72.72 no
-76.15 -1 -44.85 -30.4 no
275.6 2 162.5 109.84 no
138.7 1 81.25 55.82 no
226 2 136 87.28 no
115 1 68 45.64 no
210.7 2 136 71.98 no
29 1 18.85 9.77 no
29 1 18.85 9.77 no
46.32 2 37.7 7.86 no
159.86 1 132.4 24.81 no
441.3 2 264.8 171.2 no
209.62 1 132.4 74.57 no
209.62 1 132.4 74.57 no
这不是原始数据集。我基本上在我的决策树分析的原始数据集中添加了一个新列。但就目前而言，我想在这里制作一些情节。自有品牌被认为是House Brand。
new_ProductName = ifelse( PRODUCT_SUB_LINE_DESCR == "PRIVATE
LABEL","yes","no")
data = data.frame(new_Dataset, new_ProductName)
问题：
> group_by_region = data %>% group_by(PRODUCT_SUB_LINE_DESCR,
CUST_REGION_DESCR) %>% summarise(count=n(), sales=sum(Sales))
> mytable = table(group_by_region)
> barplot(mytable)
Error in barplot.default(mytable) : 'height' must be a vector or a matrix