<prompt> Hlalosa phapang lipakeng tsa merafo ea data le tlhahlobo ea data.nan  <response>: Instruction in English: Describe the difference between data mining and data analysis. . Response in English: Data mining and data analysis are two different but closely related tasks that are used in data processing. While they often work together, they perform different functions.Data Mining is the process of finding patterns and correlations within large data sets in order to identify relationships and hidden insights. It usually involves using techniques from machine learning, statistics, and database systems, and aims to extract relevant and useful information from the underlying data. Data mining can be used to identify trends, classify data, and for predictive modeling. It is commonly used in areas such as marketing, fraud detection, and customer relationship management.Data Analysis, on the other hand, is the process of cleaning, transforming, and modeling data to uncover useful information for decision-making. It is a more focused approach compared to data mining, and often involves the use of statistical and visualization techniques to explore data and find meaningful insights. Data analysis can be used to validate or disprove hypotheses, identify relationships between variables, and make data-driven decisions.In summary, data mining is the process of finding patterns and relationships in large data sets while data analysis is the process of using statistical and visualization techniques to explore data and generate insights. Both processes are important in data processing and are often used in conjunction. . Response in Sesotho: Merafo ea data le tlhahlobo ea data ke mesebetsi e meli e fapaneng empa e amanang haufi-ufi e sebelisoang tsebetsong ea data. Le hoja hangata li sebetsa hammoho, li etsa mesebetsi e sa tšoaneng. Data Mining ke mokhoa oa ho fumana mekhoa le likamano ka hara lihlopha tse kholo tsa data e le ho khetholla likamano le lintlha tse patiloeng. Hangata e kenyelletsa ho sebelisa mekhoa e tsoang ho ho ithuta ka mochini, lipalo-palo le litsebetso tsa database, me e ikemiselitse ho ntša lintlha tse bohlokoa le tse molemo ho data e ka tlase. Merafo ea data e ka sebelisoa ho tsebahatsa mekhoa, ho hlophisa lintlha, le ho etsa mohlala o boletsoeng esale pele. E sebelisoa hangata libakeng tse kang tsa ho bapatsa, ho lemoha bomenemene, le taolo ea likamano tsa bareki. Ka lehlakoreng le leng, Tlhahlobo ea Lintlha ke mokhoa oa ho hloekisa, ho fetola, le ho etsa mohlala oa data ho sibolla tlhahisoleseding e molemo bakeng sa ho etsa liqeto. Ke mokhoa o tsepamisitsoeng haholo ha o bapisoa le merafo ea data, me hangata o kenyelletsa tšebeliso ea mekhoa ea lipalo-palo le ea pono ho hlahloba lintlha le ho fumana lintlha tse utloahalang. Tlhahlobo ea data e ka sebelisoa ho netefatsa kapa ho hanyetsa likhopolo, ho khetholla likamano pakeng tsa mefuta-futa, le ho etsa liqeto tse tsamaisoang ke data. Ka kakaretso, merafo ea data ke mokhoa oa ho fumana mekhoa le likamano ho lihlopha tse kholo tsa data ha tlhahlobo ea data e le mokhoa oa ho sebelisa mekhoa ea lipalo-palo le ea pono ho hlahloba lintlha le ho hlahisa lintlha. Mekhoa ena ka bobeli e bohlokoa tsebetsong ea data mme hangata e sebelisoa hammoho. 