data cleansing ppt

Wang Yue Fen Zhangchengzhi Zhang Beibei Wu Tingting Definition: Data cleansing refers to the last program that discovers and corrects recognizable errors in a data file, including checking data consistency, handling invalid values and missing values, and so on. Unlike the questionnaire, the

availability of data for a particular application during the expected time period;7) Usability and maintainability (Ease of Use and maintainability): the degree to which data can be accessed and used, and the level of measurement that data can be updated, maintained, and managed;8) Data coverage: the availability and

In the previous section, we crawled nearly 70 thousand pieces of second-hand house data using crawler tools. This section pre-processes the data, that is, the so-called ETL (extract-transform-load) I. Necessity of ETL tools Data cleansing is a prerequisite for data analysis

data cleansing scenarios and implementation methods in SSIs.Why not use SQL statements for processing? It is feasible to use SQL statements to query and handle such problems, but the use of SQL statements has its own limitations, such: What if the data source is not a relational database? If the business logic is very complex and complicated SQL statements

[Data cleansing]-clean "dirty" data in Pandas (3) and clean pandasPreview Data This time, we use Artworks.csv, And we select 100 rows of data to complete this content. Procedure: DataFrame is the built-in data display structure of

growth of Blue-chase DBA (14): An unforgettable "cloud" side, starting Hadoop deploymentThe growth of Blue-Chase DBA (15): Think FTP is very "simple", who chengxiang twistsThe growth of Blue-Chase DBA: The DBA also drank and was 捭阖******************************************************************************************************* ***********Soccer and Oracle Series _20150528***********************************original works, from the "Blue Blog" blog, Welcome to reprint, please be sure to ind

One: Hive cleanup log processing statistics PV, UV traffic Two: Data cleansing of hive data python One: Log processing统计每个时段网站的访问量:1.1 Create a table structure above hive:在创建表时不能直接导入问题create table db_bflog.bf_log_src (remote_addr string,remote_user string,time_local string,request string,status string,body_bytes_sent string,request_body string,htt

[Data cleansing]-cleaning looks like a numberData is incorrect (incorrect format, inaccurate data, and missing data. The first step in data analysis during data cleansing is also the mo

This article mainly introduces the data merging, conversion, filtering, and sorting of python Data Cleansing. For more information, see pandas, next, we will learn more about data operations, Data cleansing has always been an ext

Paste a code written for Data Cleansing. during data processing, the original file data must be converted to a certain format during processing. amp; nbsp; original file data: 123.txt,, 5 use Python to convert to a two-dimensional list :#! Usrbinenv amp; nbsp; python # cod

Python data cleansing-data merging, conversion, filtering, sorting, and python sorting Previously, we used pandas to perform some basic operations. Next we will learn more about data operations,Data cleansing has always been an ex

original array, reshape did not change the originalmodifying the values in an array can be slicedthrough the transpose transformation array, such as array shape from (5,8) can be converted to shape (8,5), just extract the data, the original data unchangedconvert Direct shape from (5,8) to (8,5) by property T, just extract data, original

Preface Data cleansing is a complex and cumbersome (Kubi) work, and is also the most important part of the entire data analysis process. Some people say that an analysis project 80% of the time is cleaning the data, which sounds strange, but in the actual work is true. There are two purposes for

We used pandas to do some basic operations, then further understand the operation of the data, Data cleansing has always been a very important part of data analysis. Data merge In pandas, you can merge data through merge. Import

ways, otherwise, waste time! By asking the data source to determine the relationship between variables, using common sense to judge the value of each variable, through exploratory analysis to understand the loss/value of each variable, results-oriented analysis of data cleaning process may encounter problems.Problem decomposition: Data is stored in mult

A survey of data cleansing and feature processing in machine learning with the increase of the size of the company's transactions, the accumulation of business data and transaction data more and more, these data is the United States as a group buying platform of the most val

= "https://weibo.cn/sinaurl?f=wamp;u=http%3A%2F%2Ft.cn% 2frol0sxxamp;ep=f9vlbao8b%2c1845850033%2cf9vlbao8b%2c1845850033 ">http://t.cn/Rol0sxX a> ???is the data of the details useful? Do you want to write the analysis strategy again? : "Our school students in the ACM International College Student Program Design Competition National Invitational Gold" in May 2017, the ACM International College Student Program Design Competition (ACM-ICPC) National Invi

Method for Extracting and cleansing varchar2 to number data (from traditional to simplified) Background] When extracting the "contact number" field for data extraction, it is found that some Chinese and English characters exist. You need to clear this field. [Cause of spam Data] If a field such as "contact number" is s

-chasing DBA (20): Why did it come from? database creation escort Other chapters: Football and oracle series (1): 32-way zhoudianbing, overall view of Group A Brazil SMON process of oracle32 process Alliance Football and oracle series (2) Football and oracle series (3): oracle process rankings, the World Cup round is about to fight! Football and oracle series (4): From Brazil to Germany, think of the different RAC topology comparison! Football and oracle series (5): The directX Library missing i

Data cleansing Note: string to date: the problem caused by timestamp; note to attract Original Works are from the blog of "Deep Blue blog". You are welcome to repost them. You must specify the source when you repost them. Otherwise, you have the right to pursue legal liability for copyright. Deep Blue blog: http://blog.csdn.net/huangyanlong/article/details/46513787 Background] During