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データサイエンス100本ノック（構造化データ加工編）をRで解く 11 - 20

2021/11/21に公開
R
#
前処理
#
tidyverse
tech

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前の問題：01-10

R-011

df_customer %>%
    dplyr::filter(
        str_ends(customer_id, "1")
    ) %>%
    head(10)

R-012

df_store %>%
    dplyr::filter(
        str_detect(address, "神奈川県横浜市")
    ) %>%
    head(10)

R-013

df_customer %>%
    dplyr::filter(
        str_detect(status_cd, regex("^[ABCDEF].*", dotall=TRUE))
    ) %>%
    head(10)

R-014

df_customer %>%
    dplyr::filter(
        str_detect(status_cd, regex(".*[1-9]$", dotall=TRUE))
    ) %>%
    head(10)

R-015

df_customer %>%
    dplyr::filter(
        str_detect(status_cd, regex("^[ABCDEF].*[1-9]$", dotall=TRUE))
    ) %>%
    head(10)

R-016

df_store %>%
    dplyr::filter(
        str_detect(tel_no, regex("[0-9]{3}-[0-9]{3}-[0-9]{4}"))
    )

R-017

df_customer %>%
    arrange(birth_day) %>%
    head(10)

R-018

df_customer %>%
    arrange(desc(birth_day)) %>%
    head(10)

R-019

df_receipt %>%
    mutate(
        amount_rank = rank(-amount)
    ) %>%
    select(
        customer_id,
        amount,
        amount_rank
        ) %>%
    # arrange(amount_rank) %>%
    head(10)

R-020

df_receipt %>%
    mutate(
        amount_rank = rank(-amount, ties.method = "first")
    ) %>%
    select(
        customer_id,
        amount,
        amount_rank
        ) %>%
    # arrange() %>%
    head(10)

次の問題：21-30

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