 Analyser ensemble ya ba données mpe lakisa yango na tableau visuel.
Lokola modèle ya langue AI, nakoki te kolakisa directement tableau visuel ya ensemble ya ba données to kosala ba données sans interface d’utilisateur to code ya programmation intégré na kati na ngai oyo ekosala fonction oyo. Kasi nakoki kotambwisa bino na nzela ya kosala tableau visuelle mpe kopesa makanisi ya bisaleli mpe minoko ya programmation oyo bokoki kosalela. Bisaleli mingi ya minene mpe minoko ya programmation ezali mpo na kotalela mpe komona na makanisi ba données. Excel, Google Sheets, to Tableau ekoki kosalisa yo osala ba tableaux mpe ba graphiques kitoko na boyebi moke ya programmation. Soki ozali na accès na moko ya bisaleli oyo, okoki ko upload/importer ensemble ya ba données directement pe kosalela ba outils na bango ya charting inbuilt pona ko visualiser ba données. Na Python, okoki kosalela ba bibliothèques ya visualisation ya ba données lokola Matplotlib to Seaborn. Olingaki liboso kokɔtisa bibliotɛkɛ mpe ensemble ya ba données, na nsima okoki kosalela misala oyo etongami na bibliotɛkɛ mpo na kosala etanda. Tala ndakisa oyo ezali kosalela Python mpe bibliotɛkɛ ya Matplotlib: ```python # Kokɔtisa bibliotɛkɛ oyo esengeli kokɔtisa matplotlib.pyplot lokola plt # Échantillon ya ba données ya ensemble ya ba données = {'pomme': 10, 'oranges': 15, 'citrons': 5, '. limes': 2} ba kombo = liste(data.keys()) valeurs = liste(data.values()) # Kosala tableau fig, ax = plt.subplots() ax.bar(ba kombo, valeurs) # Lakisa tableau plt.show() ``` Na ndakisa oyo, ensemble ya ba données ya ndakisa esalelami mpo na kosala tableau ya barre na kosalelaka bibliothèque Matplotlib. Ba concepts ndenge moko ekoki kosalelama pona ko importer pe ko visualiser ensemble ya ba données ya solo.