skimr: quickly profile data in R

preview_player
Показать описание
Did you know that #R has AWESOME libraries to assess data quality? Yep, it's called #skimr.

Skimr is my go-to R package for FAST DATA QUALITY ASSESSMENT. And, Skimr is my 1st step in Exploratory Data Analysis (EDA) - before I do anything else, I check data quality with skimr.

GET THE CODE SHOWN IN THE VIDEO:

Tired of SLOW OR STAGNANT data science learning?

e-learning programs are costing you months.

Your career can't afford it. Take action. Get your dream job or next promotion now!

The SECRET is learning how to apply data science for business with our "plateau-smashing" program. 👇

THESE COURSES WILL SKYROCKET 🚀 YOUR CAREER IN WEEKS:
  1. Business Science
  2. data science
  3. r studio
  4. r programming
  5. skimr
  6. eda
Рекомендации по теме
skimr: quickly profile 0:06:59

skimr: quickly profile data in R

R Tutorials for 0:02:01

R Tutorials for Beginners: Examining Datasets Using skimr

#R | skimr::skim() 0:04:38

#R | skimr::skim() for quick EDA | #Rstudio #Rpackage #tidyverse #EDA #DataAnalysis

skimr output 0:00:16

skimr output

R tutorial: Descriptive 0:08:44

R tutorial: Descriptive statistics (and more) using skimr

Exploratory data analysis 0:04:07

Exploratory data analysis (EDA) with skimr (part of the Rfun Introduction to R series)

R Tutorial: Know 0:04:45

R Tutorial: Know your data

EDA Part 2: 0:03:50

EDA Part 2: Feature Visualization (GGally) | Week 3 | DS4B 201-R Course

R package reviews 0:09:20

R package reviews | DataExplorer | explore your data quick!

How To Quickly 0:10:16

How To Quickly Explore Data in R: DataExplorer

Quick Data Quality 0:05:26

Quick Data Quality (DQA) Assessment in the R Programming Language

R Programming: Skimr 0:10:18

R Programming: Skimr Create publication ready descriptive data summaries

Top 10 R 0:11:06

Top 10 R Packages for Exploratory Data Analysis (EDA)

Data Analysis in 0:07:06

Data Analysis in R

Medidas resumo com 0:03:06

Medidas resumo com o PACOTE skimr do R!

DataExplorer: Fast Exploratory 0:09:11

DataExplorer: Fast Exploratory Data Analysis (EDA)

Identifying Bottlenecks (slow 0:08:04

Identifying Bottlenecks (slow code parts) in R using Profiling / profvis

Improving R execution 0:19:39

Improving R execution speed by profiling the script and finding the bottleneck

4.8 Kylie Bemis-Performance, 1:20:21

4.8 Kylie Bemis-Performance, Profiling, and Debugging in R

Data in R 0:11:33

Data in R | Segment #4 | R and RStudio | Starweaver

5.Learning R - 0:03:37

5.Learning R - Built-in Datasets, str() function and R Packages

Working with Data 0:36:20

Working with Data in R | Google Data Analytics Certificate

Regression Analysis with 0:00:42

Regression Analysis with Easystat

005 Data Quality 0:04:33

005 Data Quality Assessment

Комментарии
Автор

Thanks, Matt,

Have you published any time series books? If yes, Please share the amazon link so that I can purchase it.

hectormotsepe
Автор

Great tutorial! I really love your content Matt. How do you make the index alongside the script panel?

mabenba
Автор

Hi, Matt! It's great but output is not consistent with demo provided R format applied. I used Notebook format to fix it. Cheers!

alexlev
Автор

I do love skimr::skim() but sometimes find it's a bit slow or just ends-up crashing with larger datasets. Would love if there was like a `skimr::quick_skim()` or something that did most things but took some shortcuts or gave a range of rough estimates... but guess can always just take a sample beforehand.

bryanshalloway