提供網站實際分析的範例檔案。
檔案 | 格式 | 內容 | 變數 |
---|---|---|---|
class | RData | 10名學生班級基本資料 | name, gender, height |
class_score | RData | 10名學生班級英數成績資料 | name, english, math |
class_new | RData | 10名學生班級資料 | name, gender, height, english, math |
class_12 | RData | 12名學生班級資料 | name, gender, height, weight, english, math |
customer | csv | 顧客基本資料csv | region, gender, age, edcat, jobcat, employ, income, jobcat, marital, pets_cats, pets_dogs, pets_birds, pets_small, pets_saltfish, pets_freshfish, homeown, cardspent, card2spent |
customer_without_varname | csv | 顧客基本資料csv | 無變數名稱 |
customer_txt | txt | 顧客基本資料txt | region, gender, age, edcat, jobcat, employ, income |
customer_txt_without_varname | txt | 顧客基本資料txt | 無變數名稱 |
customer_sav | sav | 顧客基本資料sav | region, gender, age, edcat, jobcat, employ, income, jobcat, marital, pets_cats, pets_dogs, pets_birds, pets_small, pets_saltfish, pets_freshfish, homeown, cardspent, card2spent |
customer_xpt | xport | 顧客基本資料xpt | region, gender, age, edcat, jobcat, employ, income, jobcat, marital, pets_cats, pets_dogs, pets_birds, pets_small, pets_saltfish, pets_freshfish, homeown, cardspent, card2spent |
customer_dta | dta | 顧客基本資料dta | region, gender, age, edcat, jobcat, employ, income, jobcat, marital, pets_cats, pets_dogs, pets_birds, pets_small, pets_saltfish, pets_freshfish, homeown, cardspent, card2spent |
customer_dbf | dbf | 顧客基本資料dbf | region, gender, age, edcat, jobcat, employ, income, jobcat, marital, pets_cats, pets_dogs, pets_birds, pets_small, pets_saltfish, pets_freshfish, homeown, cardspent, card2spent |
gender_age | csv | 資料加權範例 | gender, age, vote |
chocolate_nobel | csv | 巧克力消費與諾貝爾獎 | country, chocolate consumption, nobel laureates |
gender_traditionalmed | csv | 性別與中醫門診人數 | year, male, female |
nhi_service | csv | 門診減量措施前後醫學中心與區域醫院西醫門診健保申報件數 | Region, Level, Hospital, Before_201806, After_201906 |
tv_rate | csv | 2021/6/17收視率統計 | Channel, Program, Type, Schedule, Time, Rate, CPM, AdvCost |
phillips_curve | csv | 1990-2019台灣總體經濟指標 | year, wage, employment, cpi, growth |
teaching.csv | csv | 四種學習方法與成績 | score, income, method |
okun | csv | 1961-2020台灣失業率與經濟成長率 | year, employment, growth |
newborn | csv | 2000-2020年台灣新生兒出生人數 | time, newborn |
fareastern | csv | 2011-2020年遠東百貨營業收入 | time, revenue |
formosa_survey | csv | 2021年美麗島電子報國政民調 | predisent, prime minister, dpp, kmt |
departure | csv | 2019-2020年桃園機場出境人數 | year, departure |
mullet | csv | 2011-2020年台灣沿海、沿岸及養殖烏魚捕獲數 | year, fishery, mullet |
earthquake | csv | 2021年全台發生規模4以上地震日期 | date, earthquake |
earthquake2021 | csv | 2021全台地震統計 | 編號, 地震時間, 經度, 緯度, 規模, 深度, 位置 |
fishertea | csv | 費雪茶/牛奶猜測實驗 | real, guess |
3pa | csv | NBA三分球出手數1979-2021 | season, year, a3p, m3p, foul, turnover |
titanic | csv | 鐵達尼號旅客名單、生還、艙等 | name, gender, age, class, fare, group, joined, job, boat, survival |
Sutton et al Waterbird Data | csv | 水鳥對人類活動的忍受程度 | Site Name, Total Number of Walkers, Walker Rate, Species, Flock Size, SD, AD, Response Distance, Towards/ Away, Seperation Distance, On Shore/In Water, Distance from Edge |
order_of_return_data | csv | 雄性織布鳥的風險行為 | Male ID, Fleeing, Duration of Absence, Observation, Female, Minimum, Maximum, Order of Return, Number of Nests, Number of Females, Median Duration of Absence, Entropy, Nests Under Construction, Sum of Nest Ages, Duration of Vocalization, Minimum Frequency, Maximum Frequency, Max Amp, Censor Data, Maximum Amplitude |
important_in_life | csv | World Value Survey 休閒與工作在生活中的重要性 | leisure, work |
threekingdoms | csv | 三國志14重要角色能力值 | 角色、國家、統率、武力、智力、政治、魅力 |
new_character | RData | 三國志14其他九名知名角色 | 國家、統率、武力、智力、政治、魅力 |
mvp | RData | NBA 1980-2020 MVP球員列表 | Tm, P, Age, G, W, MP, PTS, TRB, AST, STL, BLK, FG, X3P, FT, WS, WS48 |
circuit | csv | Formula One 賽道基本資料 | gpx, circuit, laps, lenght, distance, turn, max.speed, gear.change, full.throttle, elevation.change |
NBA50 | csv | NBA 50大球星基本資料 | Player, From, To, G, MP, TPS, TRB, AST, STL, BLK, FG%, 3P%, FT, WS, WS/48 |
Prostate_Cancer | csv | 攝護腺診斷 | id, diagnosis_result, radius, texture, perimeter, area, smoothness, compactness, symmetry, fractal_dimension |
covid19 | csv | 全球Covid-19確診逐日人數 | Date, World, North.America, Europe, Asia, Africa |