<prompt> bokella lethathamo la mekhoa e 5 e molemohali ea ho theha lipono tse felletseng tsa data.nan  <response>: Instruction in English: compile a list of 5 best practices for creating comprehensive data visualizations. . Response in English: 1. Choose the right type of visualization: The first step to creating a comprehensive data visualization is to choose the right type of chart or graph that best represents the data. Common visualization types include bar charts, line graphs, pie charts, and scatter plots, among others.2. Keep it simple: Avoid cluttering the visualization with too many data points or too many colors, which can make it difficult for the viewer to process the information. Stick to a clean, easy-to-read design that conveys the information effectively.3. Use color wisely: Color is a powerful tool in data visualization, and can be used to highlight certain data points or draw the viewers attention to a specific part of the chart. However, its important to use color sparingly and strategically, and to avoid using too many similar colors that can be confusing.4. Label axes and provide context: Be sure to clearly label the axes of the visualization, and provide any necessary context to help the viewer understand the data. This could include providing a title, caption, or legend, or adding annotations or labels to specific data points.5. Tell a story with the data: Finally, a comprehensive data visualization should tell a story with the data, helping the viewer to understand the key takeaways and insights. Choose a visualization that effectively conveys the information, and use text and other visual elements to guide the viewer through the story. . Response in Sesotho: 1. Khetha mofuta o nepahetseng oa pono: Mohato oa pele oa ho theha pono e felletseng ea data ke ho khetha mofuta o nepahetseng oa chate kapa kerafo e emelang data hantle. Mefuta e tloaelehileng ea pono e kenyelletsa li-bar charts, line graphs, pie charts le scatter plots, hara tse ling. 2. E boloke e le bonolo: Qoba ho kopanya pono ka lintlha tse ngata tsa data kapa mebala e mengata haholo, e leng se ka etsang hore ho be thata ho seshebelli ho sebetsana le boitsebiso. Khomarela moralo o hloekileng, o balehang habonolo o fetisang litaba ka katleho. 3. Sebelisa mebala ka bohlale: Mala ke sesebelisoa se matla sa pono ea data, me se ka sebelisoa ho totobatsa lintlha tse itseng tsa data kapa ho lebisa tlhokomelo ea sebali karolong e itseng ea chate. Leha ho le joalo, ke habohlokoa ho sebelisa mebala ka mokhoa o fokolang le ka mokhoa o nepahetseng, le ho qoba ho sebelisa mebala e mengata e tšoanang e ka ferekanyang. 4. Tšoaea li-axes me u fane ka moelelo: Etsa bonnete ba hore u beha li-axes tsa pono ka ho hlaka, me u fane ka moelelo ofe kapa ofe o hlokahalang ho thusa bashebelli ho utloisisa lintlha. Sena se ka kenyelletsa ho fana ka sehlooho, tlhaloso, kapa tšōmo, kapa ho eketsa litlhaloso kapa lileibole ho lintlha tse itseng tsa data. 5. Bolella pale ka lintlha: Qetellong, pono e felletseng ea data e lokela ho bua pale e nang le data, ho thusa seshebelli ho utloisisa lintlha tsa bohlokoa tse nkuoang le lintlha. Kgetha ponelopele e fetisang tlhahisoleseding ka katleho, mme o sebedise mongolo le dikarolo tse ding tsa pono ho tataisa mmohi pale. 