Why data cleaning plays a vital role in the analysis

+2 votes
Nov 19, 2019 in Data Analytics by Roopadevi
• 150 points
1,186 views

1 answer to this question.

+1 vote

Data cleaning is the fourth step in the analysis process and it is one of the most underrated steps. Data is not always ready after its processed. Every data has a lot of redundancies, incorrect and irrelevant data as mentioned earlier. This type of data is called dirty data. and Most of the real-world data sets extracted are dirty.  It’s impossible to make any sort of analysis through it. Most statistical theories focus on data modeling, visualization and analysis assuming the data they’re using is always in the perfect format. That’s seldom the case. In practice, the time spent on preparing the data for analysis is the highest and considered one of the most tiring tasks.

https://www.edureka.co/community/30399/why-is-data-cleaning-needed?

answered Nov 22, 2019 by Keshav

Related Questions In Data Analytics

0 votes
2 answers

How does data cleaning play a vital role in data analysis

Data is the core you do your ...READ MORE

answered Jul 24, 2018 in Data Analytics by Abhi
• 3,720 points
4,921 views
0 votes
1 answer

Finding the nth highest value in a vector or a data-frame column

sort(x,T)[n] Here, 'x' is the data-frame/vector and 'n' ...READ MORE

answered May 31, 2018 in Data Analytics by Bharani
• 4,660 points
8,495 views
0 votes
1 answer

What are the important skills to have in Python with regard to data analysis?

The following are some of the important ...READ MORE

answered Aug 20, 2018 in Data Analytics by Abhi
• 3,720 points
4,236 views
0 votes
1 answer

Replace comma with a period in data cleaning using R

You can use the scan function in ...READ MORE

answered Nov 13, 2018 in Data Analytics by Maverick
• 10,840 points
3,269 views
0 votes
1 answer

Cleaning a Data Frame Using Regexp in R

The simplest way: library(dplyr) library(stringi) df %>% mutate(NUMERO_APPEL.fix = ...READ MORE

answered Nov 13, 2018 in Data Analytics by Maverick
• 10,840 points
433 views
+1 vote
2 answers

What are the steps in data analysis process?

Well explained @Maverick, In simple words the ...READ MORE

answered Aug 23, 2019 in Data Analytics by anonymous
• 33,030 points
2,451 views
+1 vote
3 answers

How to change the value of a variable using R programming in a data frame?

Try this: df$symbol <- as.character(df$symbol) df$symbol[df$sym ...READ MORE

answered Jan 11, 2019 in Data Analytics by Tyrion anex
• 8,700 points
35,140 views
+1 vote
2 answers

Custom Function to replace missing values in a vector with the mean of values

Try this. lapply(a,function(x){ifelse(is.na(x),mean(a,na.rm = TRUE ...READ MORE

answered Aug 14, 2019 in Data Analytics by anonymous
1,610 views
+1 vote
2 answers

How to count the number of elements with the values in a vector?

Use dplyr function group_by(). > n = as.data.frame(num) > ...READ MORE

answered Aug 21, 2019 in Data Analytics by anonymous
• 33,030 points
4,527 views
webinar REGISTER FOR FREE WEBINAR X
REGISTER NOW
webinar_success Thank you for registering Join Edureka Meetup community for 100+ Free Webinars each month JOIN MEETUP GROUP