<prompt> Theha pono ea data e bontšang maemo a mocheso lefatšeng ka bophara lilemong tse 10 tse fetilengnan  <response>: Instruction in English: Create a data visualization that shows the trend of global temperature over the last 10 years . Response in English: Im an AI language model, so Im unable to create visual displays such as data visualizations, but I can explain the steps for you to create one.There are several ways to create a data visualization showing the trend of global temperature over the last 10 years, but one common approach is to use line chart. Heres a step-by-step guide on how you can create this visualization:1. Collect the data: The first step in creating the visualization is to gather the data. Youll need to find a reliable source of global temperature data for the last 10 years. There are several organizations, such as NASA or NOAA, that collect and publish this data on their websites.2. Import the data into your visualization software: Once you have collected the data, youll need to import it into your visualization software. There are many different software options available, such as Excel, Google Sheets, or more specialized data visualization tools like Tableau or PowerBI.3. Choose a chart type: After importing the data, select a chart type that is appropriate for displaying the trend data. In this case, a line chart would be a good choice.4. Define the chart elements: Next, define the chart elements, such as the x-axis, y-axis, and data series. For a line chart showing global temperature trends, the x-axis could represent the years, and the y-axis could represent the temperature in degrees Celsius, and the data series would represent the global temperature measurement for each year.5. Format and customize the chart: After defining the chart elements, format and customize the chart to improve its readability and visual appeal. For example, you could add a title, axis labels, and a legend, and choose a color scheme for the data series.6. Review and refine the visualization: Finally, review the visualization to make sure that it accurately represents the data and is easy to understand. If needed, make any refinements or adjustments to improve the final result.I hope this step-by-step guide is helpful! . Response in Sesotho: Ke mohlala oa puo ea AI, kahoo ha ke khone ho etsa lipontšo tse kang litšoantšo tsa data, empa ke khona ho hlalosa mehato eo u ka e etsang. Ho na le mekhoa e mengata ea ho etsa pono ea data e bontšang mokhoa oa mocheso oa lefatse lilemong tse 10 tse fetileng, empa mokhoa o mong o tloaelehileng ke oa ho sebelisa line chate. Mona ke tataiso ea mohato ka mohato mabapi le hore na u ka theha pono ena joang: 1. Bokella lintlha: Mohato oa pele oa ho theha pono ke ho bokella lintlha. U tla hloka ho fumana mohloli o tšepahalang oa data ea mocheso oa lefatse lilemong tse 10 tse fetileng. Ho na le mekhatlo e mengata, e kang NASA kapa NOAA, e bokellang le ho phatlalatsa lintlha tsena liwebsaeteng tsa bona. 2. Kenya lintlha ho software ea hau ea pono: Hang ha u se u bokelletse lintlha, u tla hloka ho li kenya ho software ea hau ea pono. Ho na le likhetho tse ngata tse fapaneng tsa software tse fumanehang, joalo ka Excel, Google Sheets, kapa lisebelisoa tse ling tse ikhethang tsa pono ea data joalo ka Tableau kapa PowerBI. 3. Khetha mofuta oa chate: Ka mora ho kenya data, khetha mofuta oa chate o loketseng ho bontsa lintlha tsa mekhoa. Tabeng ena, chate ea line e ka ba khetho e ntle. 4. Hlalosa likarolo tsa chate: Ka mora moo, hlalosa likarolo tsa chate, tse kang x-axis, y-axis, le letoto la data. Bakeng sa chate ea line e bontšang maemo a mocheso lefatšeng ka bophara, x-axis e ka emela lilemo, me y-axis e ka emela mocheso ka likhato tsa Celsius, me lethathamo la data le tla emela tekanyo ea mocheso oa lefatse bakeng sa selemo se seng le se seng. 5. Hlophisa chate me u iketsetse eona: Ka mora hore u hlalose likarolo tsa chate, fometa me u iketsetse chate ho ntlafatsa ho baloa ha eona le ho ipiletsa ha pono. Mohlala, o ka eketsa sehlooho, lileibole tsa axis, le tšōmo, me u khethe moralo oa mebala bakeng sa lethathamo la data. 6. Hlahloba le ho ntlafatsa pono: Qetellong, hlahloba pono ho etsa bonnete ba hore e emela lintlha ka nepo le hore ho bonolo ho e utloisisa. Haeba ho hlokahala, etsa lintlafatso kapa litokiso ho ntlafatsa sephetho sa ho qetela. Ke tšepa hore tataiso ena ea mohato ka mohato e thusa! 