[FreeCoursesOnline.Me] [LYNDA] R Programming in Data Science Dates and Times [FCO]

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[FreeCoursesOnline.Me] [LYNDA] R Programming in Data Science Dates and Times [FCO]

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种子哈希：7f351d95977f2041db96f1f7de526d92ed90d53d
文件大小：376.4M
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收录时间：2021-03-22
最近下载：2025-09-17

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文件列表

  • 41 - The padr package.mp4 53.3 MB
  • 17 - Getting and setting time components with Lubridate.mp4 15.7 MB
  • 21 - Lubridate math with intervals.mp4 12.5 MB
  • 01 - Calculating times and dates with R.mp4 12.4 MB
  • 14 - Use read.csv() to import CSV date information.mp4 12.1 MB
  • 33 - The timelineR package.mp4 12.1 MB
  • 28 - The zoo package.mp4 11.4 MB
  • 11 - Create sequences of dates, cut dates, and round dates.mp4 11.1 MB
  • 12 - Extract parts of a date.mp4 11.1 MB
  • 16 - Parsing date and time with Lubridate.mp4 10.7 MB
  • 31 - Time-series rolling statistics.mp4 10.2 MB
  • 29 - The xts package.mp4 9.9 MB
  • 06 - The base R Date class.mp4 9.8 MB
  • 08 - Dealing with time zones and daylight savings time.mp4 9.6 MB
  • 13 - Presenting formatted dates and times.mp4 9.5 MB
  • 20 - Lubridate math with periods.mp4 9.4 MB
  • 27 - The base R ts class.mp4 9.4 MB
  • 19 - Lubridate math with durations.mp4 9.4 MB
  • 24 - The BusinessDuration package.mp4 9.2 MB
  • 05 - Choose the right date and time tool.mp4 9.2 MB
  • 10 - Adding and subtracting dates and times.mp4 9.1 MB
  • 30 - The tsibble and tibbletime packages.mp4 8.9 MB
  • 07 - Use formatters to recognize dates in character strings.mp4 8.7 MB
  • 32 - Time-series graphics.mp4 8.6 MB
  • 36 - The anytime package.mp4 7.7 MB
  • 18 - Rounding dates and time with Lubridate.mp4 7.4 MB
  • 09 - Use operators to compare date objects.mp4 7.2 MB
  • 37 - The hms package.mp4 7.0 MB
  • 04 - How dates and times are stored in R.mp4 7.0 MB
  • 23 - The busdater package.mp4 6.8 MB
  • 22 - Time zones with Lubridate.mp4 6.4 MB
  • 25 - The fmdates package.mp4 6.1 MB
  • 35 - The CRAN task view for time-series analysis.mp4 5.6 MB
  • 03 - Typical date calculations.mp4 5.4 MB
  • 40 - The datetimeutils package.mp4 5.3 MB
  • 15 - Advantages of the Lubridate package.mp4 5.0 MB
  • 26 - Time-series data.mp4 4.8 MB
  • 34 - The timelineS package.mp4 4.6 MB
  • 38 - The mondate package.mp4 4.6 MB
  • 39 - The datetime package.mp4 4.2 MB
  • 42 - Next steps.mp4 3.6 MB
  • 02 - Course organization.mp4 2.7 MB
  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 02/Base R Functions Compared to Date and Time Classes.pdf 31.7 kB
  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 02/Results of Subtracting_Adding One Class from Another.pdf 28.2 kB
  • 33 - The timelineR package.en.srt 7.2 kB
  • 21 - Lubridate math with intervals.en.srt 6.8 kB
  • 17 - Getting and setting time components with Lubridate.en.srt 6.8 kB
  • 11 - Create sequences of dates, cut dates, and round dates.en.srt 6.4 kB
  • 14 - Use read.csv() to import CSV date information.en.srt 6.3 kB
  • 19 - Lubridate math with durations.en.srt 6.2 kB
  • 41 - The padr package.en.srt 5.9 kB
  • 28 - The zoo package.en.srt 5.8 kB
  • 20 - Lubridate math with periods.en.srt 5.8 kB
  • 30 - The tsibble and tibbletime packages.en.srt 5.7 kB
  • 06 - The base R Date class.en.srt 5.4 kB
  • 08 - Dealing with time zones and daylight savings time.en.srt 5.4 kB
  • 24 - The BusinessDuration package.en.srt 5.4 kB
  • 29 - The xts package.en.srt 5.3 kB
  • 16 - Parsing date and time with Lubridate.en.srt 5.2 kB
  • 31 - Time-series rolling statistics.en.srt 5.1 kB
  • 10 - Adding and subtracting dates and times.en.srt 5.1 kB
  • 13 - Presenting formatted dates and times.en.srt 5.1 kB
  • 32 - Time-series graphics.en.srt 4.9 kB
  • 12 - Extract parts of a date.en.srt 4.7 kB
  • 07 - Use formatters to recognize dates in character strings.en.srt 4.5 kB
  • 04 - How dates and times are stored in R.en.srt 4.5 kB
  • 25 - The fmdates package.en.srt 4.4 kB
  • 36 - The anytime package.en.srt 4.4 kB
  • 37 - The hms package.en.srt 4.3 kB
  • 27 - The base R ts class.en.srt 4.2 kB
  • 23 - The busdater package.en.srt 3.9 kB
  • 09 - Use operators to compare date objects.en.srt 3.6 kB
  • 26 - Time-series data.en.srt 3.6 kB
  • 22 - Time zones with Lubridate.en.srt 3.3 kB
  • 18 - Rounding dates and time with Lubridate.en.srt 3.3 kB
  • 03 - Typical date calculations.en.srt 2.8 kB
  • 34 - The timelineS package.en.srt 2.6 kB
  • 38 - The mondate package.en.srt 2.5 kB
  • 40 - The datetimeutils package.en.srt 2.4 kB
  • 15 - Advantages of the Lubridate package.en.srt 2.4 kB
  • 39 - The datetime package.en.srt 2.2 kB
  • 01 - Calculating times and dates with R.en.srt 2.0 kB
  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 05/05_02 class TS.R 1.8 kB
  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 05/05_07 visualizing_timeseries.R 1.8 kB
  • 05 - Choose the right date and time tool.en.srt 1.7 kB
  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 02/02_06 seq cut round.R 1.7 kB
  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 05/05_08 timelineR.R 1.7 kB
  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 04/04_02 BusinessDuration.R 1.6 kB
  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 05/05_03 class zoo.R 1.6 kB
  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 05/05_04 class xts.R 1.6 kB
  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 02/02_05 math.R 1.6 kB
  • 35 - The CRAN task view for time-series analysis.en.srt 1.6 kB
  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 02/02_09 import csv dates.R 1.5 kB
  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 05/05_06 rolling averages.R 1.4 kB
  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 03/03_05 duration.R 1.3 kB
  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 06/06_06 pad thicken.R 1.2 kB
  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 02/02_03 time zones and daylight savings.R 1.2 kB
  • 42 - Next steps.en.srt 1.0 kB
  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 03/03_03 get and set.R 1.0 kB
  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 05/05_05 tsibble and tibbletime.R 996 Bytes
  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 03/03_06 period.R 971 Bytes
  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 01/01_02.R 959 Bytes
  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 02/02_07 subset weekdays.R 958 Bytes
  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 03/03_07 interval.R 945 Bytes
  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 03/03_02 parsing with lubridate.R 916 Bytes
  • 02 - Course organization.en.srt 792 Bytes
  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 04/04_03 fmdates.R 790 Bytes
  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 06/06_02 hms.R 790 Bytes
  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 02/02_04 logical operators.R 779 Bytes
  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 04/04_01 busdater.R 755 Bytes
  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 06/06_01 anytime.R 746 Bytes
  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 05/05_09 timelineS.R 733 Bytes
  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 03/03_08 timezones.R 667 Bytes
  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 02/02_02 character conversion.R 618 Bytes
  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 03/03_04 round with lubridate.R 533 Bytes
  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 01/01_03.R 490 Bytes
  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 02/02_08 formatting dates.R 452 Bytes
  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 06/06_05 datetimeutils.R 440 Bytes
  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 02/02_01_choosingBaseRTools.R 434 Bytes
  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 06/06_03 mondate.R 425 Bytes
  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 01/01_01.R 402 Bytes
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  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 02/year_month_day_data.csv 296 Bytes
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  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 06/06_04 datetime.R 268 Bytes
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  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 01/year_month_data.csv 152 Bytes
  • Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 05/Rhistory 0 Bytes

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