Displaying 4 results from an estimated 4 matches for "table_3".
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table_a
2017 Aug 30
1
Dataframe Manipulation
...uot;)
>>
>> table_1 <- gather(table_1, "Foo", "Item") %>%
>> filter(!is.na(Item))
>>
>> table_1 <- separate(table_1, col = "Item", into = c("Quantity", "Item"),
>> sep = " ")
>>
>> table_3 <- left_join(table_1, table_2, by = "Item") %>%
>> mutate(Item = paste(Quantity, Item)) %>%
>> select(-Quantity)
>>
>> table_3 %>%
>> group_by(Foo, Category) %>%
>> summarise(Item = paste(Item, collapse = ", ")) %>%
&...
2017 Sep 04
1
Dataframe Manipulation
...le_1, "Foo", "Item") %>%
>>>> filter(!is.na(Item))
>>>>
>>>> table_1 <- separate(table_1, col = "Item", into = c("Quantity",
>>>> "Item"), sep = " ")
>>>>
>>>> table_3 <- left_join(table_1, table_2, by = "Item") %>%
>>>> mutate(Item = paste(Quantity, Item)) %>%
>>>> select(-Quantity)
>>>>
>>>> table_3 %>%
>>>> group_by(Foo, Category) %>%
>>>> summarise(Item =...
2017 Aug 31
0
Dataframe Manipulation
...table_1 <- gather(table_1, "Foo", "Item") %>%
>>> filter(!is.na(Item))
>>>
>>> table_1 <- separate(table_1, col = "Item", into = c("Quantity", "Item"),
>>> sep = " ")
>>>
>>> table_3 <- left_join(table_1, table_2, by = "Item") %>%
>>> mutate(Item = paste(Quantity, Item)) %>%
>>> select(-Quantity)
>>>
>>> table_3 %>%
>>> group_by(Foo, Category) %>%
>>> summarise(Item = paste(Item, collapse = &...
2017 Aug 30
3
Dataframe Manipulation
Hey PIKAL,
It's not a homework neithe that is the real dataset i have signer NDA for
my company so that i can share the original data file, Actually I'm working
on a market basket analysis task but not able to convert my existing data
table to appropriate format so that i can apply Apriori algorithm using R,
and this is very important me to get it done because I'm an intern and if i