<prompt> Ke mekhoa efe e fapaneng ea pono e ka sebelisoang ho hlahisa data?nan  <response>: Instruction in English: What are the different visualization techniques that can be used to present data? . Response in English: There are many visualization techniques that can be used to present data in a manner that is insightful and visually appealing, including:1. Bar Chart: A common type of chart that displays categorical data with rectangular bars proportional to the value they represent.2. Line Chart: A chart that displays data as a series of points connected by a line, often used to represent changes over time.3. Pie Chart: A circular chart divided into sectors, each representing a proportion of the whole.4. Scatter Plot: A plot that displays the relationship between two numerical variables, with each data point represented as a dot on the graph.5. Histogram: A graphical representation of the distribution of numerical data using bars of different heights to represent the frequency of each value.6. Heatmap: A matrix-like visualization that displays the intensity of values using color, often used to show relationships between two or more variables.7. Box and Whisker Plot: A chart that displays the distribution of a dataset through its quartiles, with the box representing the interquartile range and the whiskers extending to the minimum and maximum values.8. Bubble Plot: A scatter plot that displays three dimensions of data by using the size of bubbles to represent the third variable.Choosing the right visualization technique depends on the type and size of the data, the relationship between the variables, and the intended audience. . Response in Sesotho: Ho na le mekhoa e mengata ea pono e ka sebelisoang ho hlahisa datha ka mokhoa o nang le temohisiso le o khahlang, ho kenyelletsa: 1. Chate ea Bare: Mofuta o tloaelehileng oa chate o bontsang lintlha tsa likarolo tse nang le mekoallo ea likhutlo li lekana le boleng boo li bo emelang. 2. Chate ea Line: Chate e bontšang data e le letoto la lintlha tse hokahaneng ka mola, hangata e sebelisetsoang ho emela liphetoho ka nako. 3. Pie Chart: Chate e chitja e arotsoeng ka likarolo, e ngoe le e ngoe e emela karolo ea kakaretso. 4. Scatter Plot: Morero o bontsang kamano pakeng tsa mefuta e meli ea linomoro, me ntlha ka ngoe ea data e emetsoe e le letheba holima graph. 5. Histogram: Kemelo ea kerafo ea kabo ea lintlha tsa linomoro ho sebelisoa mekoallo ea bophahamo bo fapaneng ho emela makhetlo a boleng bo bong le bo bong. 6. Heatmap: Ponahalo e kang ea matrix e bontšang botebo ba boleng bo sebelisang mebala, hangata e sebelisetsoang ho bontša likamano pakeng tsa mefuta e meli kapa ho feta. 7. Box and Whisker Plot: Chate e bontsang kabo ea dataset ho pholletsa le quartile ea eona, le lebokose le emelang mefuta ea interquartile le litelu li fetela ho bonyane le boleng ba holimo. 8. Bubble Plot: Morero oa ho hasanya o bontsang litekanyo tse tharo tsa data ka ho sebelisa boholo ba li-bubble ho emela phapang ea boraro. Ho khetha mokhoa o nepahetseng oa pono ho itšetlehile ka mofuta le boholo ba data, kamano pakeng tsa mefuta-futa, le bamameli ba reretsoeng. 