<prompt> Hlalosa lentsoe data wrangling.nan  <response>: Instruction in English: Describe the term data wrangling. . Response in English: Data wrangling, also known as data munging, data preprocessing or data transformation, is the process of cleaning, transforming, and reorganizing raw data into a format that is more suitable for analysis. It involves a series of steps to identify and correct inconsistencies, deal with missing or incomplete data, reformatting, and restructure data to meet specific analytical needs. The goal is to prepare data for efficient and accurate analysis, often through the use of specialized tools and programming languages. Data wrangling is a crucial step in many data-related tasks, including data mining, machine learning, and data visualization, as it directly impacts the quality of the analysis and the resulting insights. . Response in Sesotho: Ho loana ha data, ho tsejoang hape e le ho kopanya data, ho lokisa data esale pele kapa ho fetola data, ke mokhoa oa ho hloekisa, ho fetola, le ho hlophisa bocha data e tala hore e be sebopeho se loketseng ho hlahlojoa. E kenyelletsa letoto la mehato ea ho khetholla le ho lokisa ho se lumellane, ho sebetsana le lintlha tse sieo kapa tse sa fellang, ho hlophisa bocha, le ho hlophisa bocha lintlha ho fihlela litlhoko tse khethehileng tsa tlhahlobo. Sepheo ke ho lokisetsa lintlha bakeng sa tlhahlobo e nepahetseng le e nepahetseng, hangata ka ho sebelisa lisebelisoa tse khethehileng le lipuo tsa lenaneo. Ho qabana ha data ke mohato oa bohlokoa mesebetsing e mengata e amanang le datha, ho kenyeletsoa merafo ea data, ho ithuta ka mochini, le pono ea data, kaha e ama ka kotloloho boleng ba tlhahlobo le lintlha tse hlahisoang. 