Contenido del Curso
Analyzing and Visualizing Real-World Data
Analyzing and Visualizing Real-World Data
The Best Combination
Interesting! The most profitable weeks are the second to last weeks of December and November. Now, let's answer the question: What was the best selling week and store? Since our data is already weekly, we won't need to group observations this time.
Swipe to show code editor
- Select the
'Store', 'Date', and'Weekly_Sales'columns. - Sort the values of the
'Weekly_Sales'column in descending order (not ascending). - Display the first 10 rows of the obtained dataframe.
Do not worry about syntax, pandas allows splitting methods by lines.
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones¡Gracias por tus comentarios!
The Best Combination
Interesting! The most profitable weeks are the second to last weeks of December and November. Now, let's answer the question: What was the best selling week and store? Since our data is already weekly, we won't need to group observations this time.
Swipe to show code editor
- Select the
'Store', 'Date', and'Weekly_Sales'columns. - Sort the values of the
'Weekly_Sales'column in descending order (not ascending). - Display the first 10 rows of the obtained dataframe.
Do not worry about syntax, pandas allows splitting methods by lines.
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones¡Gracias por tus comentarios!
The Best Combination
Interesting! The most profitable weeks are the second to last weeks of December and November. Now, let's answer the question: What was the best selling week and store? Since our data is already weekly, we won't need to group observations this time.
Swipe to show code editor
- Select the
'Store', 'Date', and'Weekly_Sales'columns. - Sort the values of the
'Weekly_Sales'column in descending order (not ascending). - Display the first 10 rows of the obtained dataframe.
Do not worry about syntax, pandas allows splitting methods by lines.
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones¡Gracias por tus comentarios!
Interesting! The most profitable weeks are the second to last weeks of December and November. Now, let's answer the question: What was the best selling week and store? Since our data is already weekly, we won't need to group observations this time.
Swipe to show code editor
- Select the
'Store', 'Date', and'Weekly_Sales'columns. - Sort the values of the
'Weekly_Sales'column in descending order (not ascending). - Display the first 10 rows of the obtained dataframe.
Do not worry about syntax, pandas allows splitting methods by lines.
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opcionesCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones