Download Lynda | R Programming in Data Science: Dates and Times [FCO] Torrent

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Lynda | R Programming in Data Science: Dates and Times [FCO]

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01 - Calculating times and dates with R.en.srt

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1.95 KB

01 - Calculating times and dates with R.mp4

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11.84 MB

02 - Course organization.en.srt

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792 B

02 - Course organization.mp4

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2.58 MB

03 - Typical date calculations.en.srt

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2.7 KB

03 - Typical date calculations.mp4

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5.12 MB

04 - How dates and times are stored in R.en.srt

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4.37 KB

04 - How dates and times are stored in R.mp4

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6.65 MB

05 - Choose the right date and time tool.en.srt

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1.71 KB

05 - Choose the right date and time tool.mp4

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8.74 MB

06 - The base R Date class.en.srt

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5.31 KB

06 - The base R Date class.mp4

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9.33 MB

07 - Use formatters to recognize dates in character strings.en.srt

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4.39 KB

07 - Use formatters to recognize dates in character strings.mp4

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8.26 MB

08 - Dealing with time zones and daylight savings time.en.srt

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5.29 KB

08 - Dealing with time zones and daylight savings time.mp4

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9.15 MB

09 - Use operators to compare date objects.en.srt

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3.55 KB

09 - Use operators to compare date objects.mp4

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6.9 MB

10 - Adding and subtracting dates and times.en.srt

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4.98 KB

10 - Adding and subtracting dates and times.mp4

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8.63 MB

11 - Create sequences of dates, cut dates, and round dates.en.srt

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6.26 KB

11 - Create sequences of dates, cut dates, and round dates.mp4

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10.59 MB

12 - Extract parts of a date.en.srt

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4.56 KB

12 - Extract parts of a date.mp4

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10.58 MB

13 - Presenting formatted dates and times.en.srt

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4.97 KB

13 - Presenting formatted dates and times.mp4

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9.09 MB

14 - Use read.csv() to import CSV date information.en.srt

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6.2 KB

14 - Use read.csv() to import CSV date information.mp4

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11.57 MB

15 - Advantages of the Lubridate package.en.srt

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2.3 KB

15 - Advantages of the Lubridate package.mp4

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4.74 MB

16 - Parsing date and time with Lubridate.en.srt

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5.06 KB

16 - Parsing date and time with Lubridate.mp4

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10.21 MB

17 - Getting and setting time components with Lubridate.en.srt

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6.69 KB

17 - Getting and setting time components with Lubridate.mp4

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14.99 MB

18 - Rounding dates and time with Lubridate.en.srt

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3.18 KB

18 - Rounding dates and time with Lubridate.mp4

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7.03 MB

19 - Lubridate math with durations.en.srt

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6.09 KB

19 - Lubridate math with durations.mp4

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8.95 MB

20 - Lubridate math with periods.en.srt

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5.66 KB

20 - Lubridate math with periods.mp4

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8.99 MB

21 - Lubridate math with intervals.en.srt

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6.69 KB

21 - Lubridate math with intervals.mp4

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11.92 MB

22 - Time zones with Lubridate.en.srt

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3.2 KB

22 - Time zones with Lubridate.mp4

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6.08 MB

23 - The busdater package.en.srt

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3.83 KB

23 - The busdater package.mp4

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6.47 MB

24 - The BusinessDuration package.en.srt

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5.28 KB

24 - The BusinessDuration package.mp4

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8.8 MB

25 - The fmdates package.en.srt

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4.28 KB

25 - The fmdates package.mp4

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5.82 MB

26 - Time-series data.en.srt

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3.51 KB

26 - Time-series data.mp4

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4.58 MB

27 - The base R ts class.en.srt

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4.07 KB

27 - The base R ts class.mp4

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8.97 MB

28 - The zoo package.en.srt

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5.7 KB

28 - The zoo package.mp4

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10.84 MB

29 - The xts package.en.srt

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5.22 KB

29 - The xts package.mp4

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9.45 MB

30 - The tsibble and tibbletime packages.en.srt

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5.58 KB

30 - The tsibble and tibbletime packages.mp4

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8.45 MB

31 - Time-series rolling statistics.en.srt

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4.98 KB

31 - Time-series rolling statistics.mp4

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9.69 MB

32 - Time-series graphics.en.srt

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4.78 KB

32 - Time-series graphics.mp4

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8.18 MB

33 - The timelineR package.en.srt

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7.07 KB

33 - The timelineR package.mp4

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11.5 MB

34 - The timelineS package.en.srt

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2.52 KB

34 - The timelineS package.mp4

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4.41 MB

35 - The CRAN task view for time-series analysis.en.srt

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1.52 KB

35 - The CRAN task view for time-series analysis.mp4

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5.31 MB

36 - The anytime package.en.srt

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4.28 KB

36 - The anytime package.mp4

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7.3 MB

37 - The hms package.en.srt

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4.23 KB

37 - The hms package.mp4

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6.72 MB

38 - The mondate package.en.srt

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2.42 KB

38 - The mondate package.mp4

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4.34 MB

39 - The datetime package.en.srt

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2.12 KB

39 - The datetime package.mp4

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4.03 MB

40 - The datetimeutils package.en.srt

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2.37 KB

40 - The datetimeutils package.mp4

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5.07 MB

41 - The padr package.en.srt

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5.77 KB

41 - The padr package.mp4

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50.85 MB

42 - Next steps.en.srt

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1.02 KB

42 - Next steps.mp4

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3.41 MB

Ex_Files_R_Programming_Data_Science

Bonus Courses + Project Files.url

URL

173 B

Exercise Files

chapter 01

01_01.R	R	402 B
01_02.R	R	959 B
01_03.R	R	490 B
year_month_data.csv	CSV	152 B

chapter 02

02_01_choosingBaseRTools.R	R	434 B
02_02 character conversion.R	R	618 B
02_03 time zones and daylight savings.R	R	1.2 KB
02_04 logical operators.R	R	779 B
02_05 math.R	R	1.54 KB
02_06 seq cut round.R	R	1.68 KB
02_07 subset weekdays.R	R	958 B
02_08 formatting dates.R	R	452 B
02_09 import csv dates.R	R	1.42 KB
Base R Functions Compared to Date and Time Classes.pdf	PDF	30.98 KB
Results of Subtracting_Adding One Class from Another.pdf	PDF	27.54 KB
year_month_day_data.csv	CSV	296 B

chapter 03

03_02 parsing with lubridate.R	R	916 B
03_03 get and set.R	R	1006 B
03_04 round with lubridate.R	R	533 B
03_05 duration.R	R	1.26 KB
03_06 period.R	R	971 B
03_07 interval.R	R	945 B
03_08 timezones.R	R	667 B

chapter 04

04_01 busdater.R	R	755 B
04_02 BusinessDuration.R	R	1.61 KB
04_03 fmdates.R	R	790 B

chapter 05

05_02 class TS.R	R	1.73 KB
05_03 class zoo.R	R	1.61 KB
05_04 class xts.R	R	1.58 KB
05_05 tsibble and tibbletime.R	R	996 B
05_06 rolling averages.R	R	1.34 KB
05_07 visualizing_timeseries.R	R	1.73 KB
05_08 timelineR.R	R	1.65 KB
05_09 timelineS.R	R	733 B
Rhistory		0 B

chapter 06

06_01 anytime.R	R	746 B
06_02 hms.R	R	790 B
06_03 mondate.R	R	425 B
06_04 datetime.R	R	268 B
06_05 datetimeutils.R	R	440 B
06_06 pad thicken.R	R	1.22 KB

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Lynda | R Programming in Data Science: Dates and Times [FCO]

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