<prompt> Sekaseka datha mme o e hlahise ka chate e bonahalang.  <response>: Instruction in English: Analyze a dataset and display it in a visual chart. . Response in English: As an AI language model, I cannot directly display a visual chart of a dataset or process data without a user interface or programming code integrated within me that would perform this function. But I can guide you through the process of creating a visual chart and suggest tools and programming languages you can use. Many great tools and programming languages are available to analyze and visualize data. Excel, Google Sheets, or Tableau can help you create beautiful charts and graphs with limited programming knowledge. If you have access to any of these tools, you can uploadimport the dataset directly and use their inbuilt charting tools to visualize the data.In Python, you can use data visualization libraries such as Matplotlib or Seaborn. You would first import the library and the dataset, then you can use the librarys built-in functions to create a chart.Heres an example using Python and the Matplotlib library:python Import the necessary librariesimport matplotlib.pyplot as plt Sample datasetdata apples: 10, oranges: 15, lemons: 5, limes: 2names listdata.keysvalues listdata.values Create the chartfig, ax plt.subplotsax.barnames, values Display the chartplt.showIn this example, a sample dataset is used to create a bar chart using the Matplotlib library. The same concepts can be applied to import and visualize a real dataset. . Response in Sesotho: Joaloka mohlala oa puo ea AI, ha ke khone ho bontša ka ho toba chate e bonahalang ea dataset kapa data ea tsebetso ntle le sebopeho sa mosebedisi kapa khoutu ea lenaneo e kopantsoeng ka hare ho na e neng e tla etsa mosebetsi ona. Empa nka u tataisa molemong oa ho theha chate e bonoang le ho fana ka tlhahiso ea lisebelisoa le lipuo tsa mananeo tseo u ka li sebelisang. Lisebelisoa tse ngata tse kholo le lipuo tsa mananeo li teng ho sekaseka le ho bona lintlha ka mahlo. Excel, Google Sheets, kapa Tableau li ka u thusa ho theha lichate tse ntle le li-graph tse nang le tsebo e fokolang ea mananeo. Haeba u na le monyetla oa ho sebelisa leha e le efe ea lisebelisoa tsena, u ka kenya kenya dataset ka ho toba me u sebelise lisebelisoa tsa bona tse hahiloeng ka hara lichate ho bona lintlha ka mahlo. Ho Python, o ka sebelisa lilaebrari tsa pono ea data joalo ka Matplotlib kapa Seaborn. O ne o tla qala ka ho kenya laeborari le datha, ebe o ka sebelisa mesebetsi e hahelletsoeng ka hara laeborari ho etsa chate. Mohlala ke ona o sebelisang Python le laeborari ea Matplotlib: python Kenya lilaeborari tse hlokahalang kantle ho naha matplotlib.pyplot as plt Sample dataset data apples: 10, oranges: 15, lemons: 5, limes: 2 mabitso listdata.keys values listdata.values Theha chate feiga, selepe plt.subplots ax.barmabitso, boleng Bontša chate plt.show Mohlaleng ona, mohlala oa datha o sebelisoa ho etsa chate ea bareki ho sebelisoa laeborari ea Matplotlib. Likhopolo tse tšoanang li ka sebelisoa ho kenya le ho bona dataset ea sebele. 