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

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

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English

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376.40 MB

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7f351d95977f2041db96f1f7de526d92ed90d53d

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17-08-2019 20:57 (edited 17-08-2019 21:09) by Prom3th3uS

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File	Size
0. Websites you may like/0. (1Hack.Us) Premium Tutorials-Guides-Articles & Community based Forum.url	377.00 B
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0. Websites you may like/How you can help Team-FTU.txt	229.00 B
01 - Calculating times and dates with R.en.srt	1.95 kB
01 - Calculating times and dates with R.mp4	11.84 MB
02 - Course organization.en.srt	792.00 B
02 - Course organization.mp4	2.58 MB
03 - Typical date calculations.en.srt	2.70 kB
03 - Typical date calculations.mp4	5.12 MB
04 - How dates and times are stored in R.en.srt	4.37 kB
04 - How dates and times are stored in R.mp4	6.65 MB
05 - Choose the right date and time tool.en.srt	1.71 kB
05 - Choose the right date and time tool.mp4	8.74 MB
06 - The base R Date class.en.srt	5.31 kB
06 - The base R Date class.mp4	9.33 MB
07 - Use formatters to recognize dates in character strings.en.srt	4.39 kB
07 - Use formatters to recognize dates in character strings.mp4	8.26 MB
08 - Dealing with time zones and daylight savings time.en.srt	5.29 kB
08 - Dealing with time zones and daylight savings time.mp4	9.15 MB
09 - Use operators to compare date objects.en.srt	3.55 kB
09 - Use operators to compare date objects.mp4	6.90 MB
10 - Adding and subtracting dates and times.en.srt	4.98 kB
10 - Adding and subtracting dates and times.mp4	8.63 MB
11 - Create sequences of dates, cut dates, and round dates.en.srt	6.26 kB
11 - Create sequences of dates, cut dates, and round dates.mp4	10.59 MB
12 - Extract parts of a date.en.srt	4.56 kB
12 - Extract parts of a date.mp4	10.58 MB
13 - Presenting formatted dates and times.en.srt	4.97 kB
13 - Presenting formatted dates and times.mp4	9.09 MB
14 - Use read.csv() to import CSV date information.en.srt	6.20 kB
14 - Use read.csv() to import CSV date information.mp4	11.57 MB
15 - Advantages of the Lubridate package.en.srt	2.30 kB
15 - Advantages of the Lubridate package.mp4	4.74 MB
16 - Parsing date and time with Lubridate.en.srt	5.06 kB
16 - Parsing date and time with Lubridate.mp4	10.21 MB
17 - Getting and setting time components with Lubridate.en.srt	6.69 kB
17 - Getting and setting time components with Lubridate.mp4	14.99 MB
18 - Rounding dates and time with Lubridate.en.srt	3.18 kB
18 - Rounding dates and time with Lubridate.mp4	7.03 MB
19 - Lubridate math with durations.en.srt	6.09 kB
19 - Lubridate math with durations.mp4	8.95 MB
20 - Lubridate math with periods.en.srt	5.66 kB
20 - Lubridate math with periods.mp4	8.99 MB
21 - Lubridate math with intervals.en.srt	6.69 kB
21 - Lubridate math with intervals.mp4	11.92 MB
22 - Time zones with Lubridate.en.srt	3.20 kB
22 - Time zones with Lubridate.mp4	6.08 MB
23 - The busdater package.en.srt	3.83 kB
23 - The busdater package.mp4	6.47 MB
24 - The BusinessDuration package.en.srt	5.28 kB
24 - The BusinessDuration package.mp4	8.80 MB
25 - The fmdates package.en.srt	4.28 kB
25 - The fmdates package.mp4	5.82 MB
26 - Time-series data.en.srt	3.51 kB
26 - Time-series data.mp4	4.58 MB
27 - The base R ts class.en.srt	4.07 kB
27 - The base R ts class.mp4	8.97 MB
28 - The zoo package.en.srt	5.70 kB
28 - The zoo package.mp4	10.84 MB
29 - The xts package.en.srt	5.22 kB
29 - The xts package.mp4	9.45 MB
30 - The tsibble and tibbletime packages.en.srt	5.58 kB
30 - The tsibble and tibbletime packages.mp4	8.45 MB
31 - Time-series rolling statistics.en.srt	4.98 kB
31 - Time-series rolling statistics.mp4	9.69 MB
32 - Time-series graphics.en.srt	4.78 kB
32 - Time-series graphics.mp4	8.18 MB
33 - The timelineR package.en.srt	7.07 kB
33 - The timelineR package.mp4	11.50 MB
34 - The timelineS package.en.srt	2.52 kB
34 - The timelineS package.mp4	4.41 MB
35 - The CRAN task view for time-series analysis.en.srt	1.52 kB
35 - The CRAN task view for time-series analysis.mp4	5.31 MB
36 - The anytime package.en.srt	4.28 kB
36 - The anytime package.mp4	7.30 MB
37 - The hms package.en.srt	4.23 kB
37 - The hms package.mp4	6.72 MB
38 - The mondate package.en.srt	2.42 kB
38 - The mondate package.mp4	4.34 MB
39 - The datetime package.en.srt	2.12 kB
39 - The datetime package.mp4	4.03 MB
40 - The datetimeutils package.en.srt	2.37 kB
40 - The datetimeutils package.mp4	5.07 MB
41 - The padr package.en.srt	5.77 kB
41 - The padr package.mp4	50.85 MB
42 - Next steps.en.srt	1.02 kB
42 - Next steps.mp4	3.41 MB
Ex_Files_R_Programming_Data_Science/Bonus Courses + Project Files.url	173.00 B
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 01/01_01.R	402.00 B
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 01/01_02.R	959.00 B
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 01/01_03.R	490.00 B
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 01/year_month_data.csv	152.00 B
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 02/02_01_choosingBaseRTools.R	434.00 B
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 02/02_02 character conversion.R	618.00 B
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 02/02_03 time zones and daylight savings.R	1.20 kB
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 02/02_04 logical operators.R	779.00 B
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 02/02_05 math.R	1.54 kB
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 02/02_06 seq cut round.R	1.68 kB
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 02/02_07 subset weekdays.R	958.00 B
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 02/02_08 formatting dates.R	452.00 B
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 02/02_09 import csv dates.R	1.42 kB
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 02/Base R Functions Compared to Date and Time Classes.pdf	30.98 kB
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 02/Results of Subtracting_Adding One Class from Another.pdf	27.54 kB
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 02/year_month_day_data.csv	296.00 B
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 03/03_02 parsing with lubridate.R	916.00 B
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 03/03_03 get and set.R	1,006.00 B
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 03/03_04 round with lubridate.R	533.00 B
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 03/03_05 duration.R	1.26 kB
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 03/03_06 period.R	971.00 B
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 03/03_07 interval.R	945.00 B
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 03/03_08 timezones.R	667.00 B
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 04/04_01 busdater.R	755.00 B
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 04/04_02 BusinessDuration.R	1.61 kB
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 04/04_03 fmdates.R	790.00 B
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 05/05_02 class TS.R	1.73 kB
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 05/05_03 class zoo.R	1.61 kB
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 05/05_04 class xts.R	1.58 kB
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 05/05_05 tsibble and tibbletime.R	996.00 B
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 05/05_06 rolling averages.R	1.34 kB
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 05/05_07 visualizing_timeseries.R	1.73 kB
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 05/05_08 timelineR.R	1.65 kB
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 05/05_09 timelineS.R	733.00 B
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 05/Rhistory	0.00 B
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 06/06_01 anytime.R	746.00 B
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 06/06_02 hms.R	790.00 B
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 06/06_03 mondate.R	425.00 B
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 06/06_04 datetime.R	268.00 B
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 06/06_05 datetimeutils.R	440.00 B
Ex_Files_R_Programming_Data_Science/Exercise Files/chapter 06/06_06 pad thicken.R	1.22 kB

Description

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Author: Mark Niemann-Ross
Language: English
Released: 7/24/2019
Subtitle: Included
Torrent Contains: 132 Files, 9 Folders
Course Source: https://www.lynda.com/R-tutorials/R-Programming-Data-Science-Dates-Times/5043085-2.html

Description:

One of the fundamental difficulties of data science is working with dates and times. This course shows data engineers, DevOps practitioners, and data-science programmers the most common (and many not so common!) problems and how to use R-based tools to implement solutions. Learn how dates and times are stored and retrieved in base R. Find out how to format, compare, add and subtract, and extract dates and times using built-in R functions. Then discover how to incorporate specialized R packages, such as lubridate, busdater, zoo, timelineR, anytime, datetime, and more, to perform some of the heavy lifting. Instructor Mark Niemann-Ross walks you through each package, so you can appreciate the advantages and best uses of each one.

Topics Include:

• Choosing the right tool
• Dates and times in base R
• Dealing with time zones
• Adding and subtracting dates and times
• Formatting dates and times
• Rounding dates and times
• Using lubridate for dates and times
• Business and finance packages for R
• Working with time-series data
• Specialized data and time packages.