<prompt> Fana ka mehlala ea mananeo a mararo a sebelisetsoang ho qabana ha data.nan  <response>: Instruction in English: Give examples of three programs that are used for data wrangling. . Response in English: 1. Pandas: Pandas is a powerful, open-source software library for data analysis and manipulation in Python. It provides easy-to-use data structures and data analysis tools for working with structured data, including data in CSV, Excel, SQL databases, and more. With Pandas, users can perform data cleaning, reshaping, and aggregation with ease.2. Trifacta: Trifacta is a data wrangling software that helps users to clean and transform raw data for analysis purpose. By using intuitive visual interface and variety of built-in functions, users can easily transform their messy and complex data into well-structured and organized format, and also identify errors or inconsistencies within the dataset.3. OpenRefine: OpenRefine, formerly known as Google Refine, is a powerful tool for working with messy data. It can be used to clean and transform data, as well as to reconcile and match data from different sources. With OpenRefine, users can explore large datasets, clean and transform data, extend data with web services, and more. . Response in Sesotho: 1. Pandas: Pandas ke laebrari e matla, e bulehileng ea software bakeng sa tlhahlobo ea data le ho qhekella Python. E fana ka meralo ea data e sebelisoang habonolo le lisebelisoa tsa tlhahlobo ea data bakeng sa ho sebetsa ka data e hlophisitsoeng, ho kenyeletsoa data ho CSV, Excel, SQL database, le tse ling. Ka li-Pandas, basebelisi ba ka etsa tlhoekiso ea data, ho hlophisa bocha le ho kopanya habonolo. 2. Trifacta: Trifacta ke software ea ho loantsa data e thusang basebelisi ho hloekisa le ho fetola data e tala molemong oa tlhahlobo. Ka ho sebelisa sebopeho se hlakileng sa pono le mefuta e fapaneng ea mesebetsi e hahelletsoeng, basebelisi ba ka fetola habonolo data ea bona e bohlasoa le e rarahaneng hore e be sebopeho se hlophisitsoeng hantle le se hlophisitsoeng, hape ba khetholle liphoso kapa ho se lumellane ka hara dataset. 3. OpenRefine: OpenRefine, eo pele e neng e tsejoa e le Google Refine, ke sesebelisoa se matla sa ho sebetsa ka boitsebiso bo bohlasoa. E ka sebelisoa ho hloekisa le ho fetola data, hammoho le ho boelanya le ho bapisa lintlha tse tsoang mehloling e fapaneng. Ka OpenRefine, basebelisi ba ka hlahloba li-database tse kholo, ba hloekisa le ho fetola data, ba atolosa data ka litsebeletso tsa marang-rang, le tse ling. 