<prompt> Fumana mokhoa oa ho bolela esale pele tlhoko ea sehlahisoa se itseng ka mokhoa oa pono.Maikutlo: - Lintlha tse kenyelletsang linomoro tsa thekiso ea sehlahisoa ka likhoeli tse fapaneng  <response>: Instruction in English: Find a way to forecast the demand for a certain product in visualization form. . Response in English: A useful way to forecast future demand for a product is through data visualization using sales data collected from different months. There are several ways to do this, including:1. Line Graph: One of the easiest and most common methods to visualize and forecast demand is using a line graph. Plot the sales numbers for each month on the y-axis and the months on the x-axis. You can then use a trendline to connect the points and provide a basic forecast of future demand based on past sales.2. Bar Graph: Another way to visualize sales data is by using a bar graph. This can be done by plotting the months on the x-axis and the sales numbers on the y-axis. Each bar will represent a months sales data. You can then compare the height of the bars to view trends in sales data to forecast future demand for the product.3. Heatmap: A heatmap can also be used to forecast demand. It involves creating a calendar view of sales data, where each day is marked with a different color depending on the sales number for that day. This can help to identify patterns and trends in sales numbers, which can be used to forecast future demand.No matter which form of visualization is chosen, it is important to note that forecasts are not perfect and may need to be adjusted. However, creating a visual representation of sales data can help to make informed decisions about future demand for a product. . Response in Sesotho: Mokhoa o sebetsang oa ho bolela esale pele tlhoko ea bokamoso ea sehlahisoa ke ka pono ea data u sebelisa lintlha tsa thekiso tse bokelletsoeng likhoeling tse fapaneng. Ho na le mekhoa e mengata ea ho etsa sena, ho kenyelletsa: 1. Kerafo ea Mola: E ngoe ea mekhoa e bonolo le e atileng haholo ea ho bona ka mahlo a kelello le tlhokeho ea ponelopele ke ho sebelisa kerafo ea mola. Rala linomoro tsa thekiso ea khoeli le khoeli sebakeng sa y-axis le likhoeli ho x-axis. Joale u ka sebelisa mokhoa oa ho hokahanya lintlha le ho fana ka ponelopele ea mantlha ea tlhoko ea nako e tlang e ipapisitseng le thekiso e fetileng. 2. Bar Graph: Tsela e ngoe ea ho bona lintlha tsa thekiso ke ka ho sebelisa bar graph. Sena se ka etsoa ka ho rera likhoeli ho x-axis le linomoro tsa thekiso ho y-axis. Sebaka se seng le se seng se tla emela lintlha tsa khoeli tsa thekiso. Joale o ka bapisa bophahamo ba mekoallo ho bona maemo a data ea thekiso ho bolela esale pele tlhoko ea bokamoso ea sehlahisoa. 3. Heatmap: Mapa oa mocheso o ka boela oa sebelisoa ho bolela esale pele tlhoko. E kenyelletsa ho theha pono ea khalendara ea data ea thekiso, moo letsatsi le leng le le leng le tšoailoeng ka mala o fapaneng ho latela nomoro ea thekiso ea letsatsi leo. Sena se ka thusa ho tseba mekhoa le mekhoa ea linomoro tsa thekiso, tse ka sebelisoang ho bolela esale pele tlhoko ea nako e tlang. Ho sa tsotellehe hore na ho khethoa mofuta ofe oa pono, ke habohlokoa ho hlokomela hore ponelopele ha ea phethahala me e ka hloka ho lokisoa. Leha ho le joalo, ho theha ponahatso ea data ea thekiso ho ka thusa ho etsa liqeto tse nepahetseng mabapi le tlhoko ea bokamoso ea sehlahisoa. 