Contenido del Curso
Analyzing and Visualizing Real-World Data
Analyzing and Visualizing Real-World Data
Comparing Shops
As you can see, all of these points are related to the 'pre-Christmas' periods, as we noticed before. Now, let's use visualizing tools to compare the revenue for shops. We already know the top 5 selling stores, but are other shops significantly worse? We'll find out using a bar chart.
Swipe to show code editor
- Prepare the data: group the values of the
dfDataFrame based on the'Store'column, then select the'Weekly_Sales'column, calculate sum values across groups, and reset the indexes. Save the result within thedatavariable. - Initialize a bar plot. Use the
'Store'column values ofdatafor the x-axis,'Weekly_Sales'for the y-axis, and make bars'blue'. - Display the plot.
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones¡Gracias por tus comentarios!
Comparing Shops
As you can see, all of these points are related to the 'pre-Christmas' periods, as we noticed before. Now, let's use visualizing tools to compare the revenue for shops. We already know the top 5 selling stores, but are other shops significantly worse? We'll find out using a bar chart.
Swipe to show code editor
- Prepare the data: group the values of the
dfDataFrame based on the'Store'column, then select the'Weekly_Sales'column, calculate sum values across groups, and reset the indexes. Save the result within thedatavariable. - Initialize a bar plot. Use the
'Store'column values ofdatafor the x-axis,'Weekly_Sales'for the y-axis, and make bars'blue'. - Display the plot.
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones¡Gracias por tus comentarios!
Comparing Shops
As you can see, all of these points are related to the 'pre-Christmas' periods, as we noticed before. Now, let's use visualizing tools to compare the revenue for shops. We already know the top 5 selling stores, but are other shops significantly worse? We'll find out using a bar chart.
Swipe to show code editor
- Prepare the data: group the values of the
dfDataFrame based on the'Store'column, then select the'Weekly_Sales'column, calculate sum values across groups, and reset the indexes. Save the result within thedatavariable. - Initialize a bar plot. Use the
'Store'column values ofdatafor the x-axis,'Weekly_Sales'for the y-axis, and make bars'blue'. - Display the plot.
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones¡Gracias por tus comentarios!
As you can see, all of these points are related to the 'pre-Christmas' periods, as we noticed before. Now, let's use visualizing tools to compare the revenue for shops. We already know the top 5 selling stores, but are other shops significantly worse? We'll find out using a bar chart.
Swipe to show code editor
- Prepare the data: group the values of the
dfDataFrame based on the'Store'column, then select the'Weekly_Sales'column, calculate sum values across groups, and reset the indexes. Save the result within thedatavariable. - Initialize a bar plot. Use the
'Store'column values ofdatafor the x-axis,'Weekly_Sales'for the y-axis, and make bars'blue'. - Display the plot.
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