- Cree una variable global llamada paso
- Fije el valor de la variable paso a 10
- Inserte un bloque ir a x: -200 y: 0
- Inserte un bloque por siempre
- Dentro del bloque por siempre inserte un bloque mover pasos y coloque dentro la variable paso
- Inserte un bloque si y coloque un operador __ > ___ dentro, antes del signo mayor que coloque un bloque posición en x y después del signo mayor que coloque el número 200
- Fije el valor de la variable paso a -10
- Inserte otro bloque si y coloque un operador __ < ___ dentro, antes del signo mayor que coloque un bloque posición en x y después del signo mayor que coloque el número -200
- Fije el valor de la variable paso a 10
Este blog tiene el fin de facilitar el aprendizaje y dar información de informática y tecnología
lunes, 30 de octubre de 2017
10º TALLER SCRATCH #6 - Gatito Va, Gatito Viene
viernes, 27 de octubre de 2017
9º TALLER PRÁCTICO # 4 FUNCIÓN CONSULTAV
ATENCIÓN: Este ejemplo fue realizan usando libreoffice, para excel reemplace buscarv por consultav
Después de realizado el formato
Y tener listo el “archivador” que corresponde a nuestra matriz de búsqueda
Procederemos a utilizar la función BUSCARV
Mirando nuestra factura notaremos un campo que recibe el nombre de Código, allí se registran los códigos de los productos que estamos vendiendo
El artículo es lo que queremos que la hoja de cálculo busque por nosotros por lo tanto la función BuscarV (En excel usar consultav) se coloca dentro de este espacio
La función BuscarV (Consultav) tiene los siguientes parámetros: Criterio de búsqueda (es el valor que estoy comparando en la búsqueda), luego la Matriz buscar en (es nuestro archivador donde se encuentran los datos de la base de datos), tenemos el índice (es él número de la columna de nuestro archivador en donde están los datos que queremos mostrar) y el ordenado (es la forma en que se “mostrarán” los datos de la búsqueda)
En este caso el criterio de búsqueda es el código del producto que el cliente ha seleccionado o adquirido.
Luego, el parámetro de Matriz buscar en, es el espacio donde se encuentran nuestros datos, desde el 1er código de la lista, hasta el último precio de la lista.
El índice que corresponde a la columna donde se encuentra nuestro valor a mostrar es la 2 columna de la matriz, por lo tanto el índice será 2.
En el ordenado, se puede colocar el valor True o False, Verdadero o Falso, 1 o 0 según el usuario y el caso. Para nuestro ejemplo, el ordenado será el número 0, pues necesitamos coincidencias exactas
Así debería quedar nuestra función de búsqueda para este ejemplo. Si todo es correcto, debería mostrarnos el artículo lápiz que corresponde al código 0001, si usáramos otro código de la lista, debería mostrarnos los demás artículos correspondientes al código. En caso de que aparezca un mensaje #N/D significa que ese código no existe en la lista. Si nos aparece un mensaje Error. Con un número significa que la función o alguno de los parámetros de la función es incorrecto. En caso tal que la celda aparezca vacía, pero la función es correcta, entonces el error estará en el índice.
Usamos la misma función para el valor unitario, ya que tenemos el mismo criterio y la misma matriz, lo único que debemos cambiar es el índice que para el valor unitario corresponde a la columna 3 de la matriz.
La parte de multiplicar la cantidad de artículos por el valor unitario, ya está publicado en otra actividad del blog.
Si deseamos “estirar” la fórmula, debemos tener en cuenta que al hacerlo, se desplazaran las celdas dentro de la función, por lo tanto las “bloqueamos” usando el símbolo $ en el parámetro que indica la matriz buscar en
9º TALLER 3 USO DE FÓRMULAS Y FUNCIONES
En primer lugar debe abrir una hoja de cálculo nueva
Selecciona las filas 1 y 2 hasta la columna F
![](data:image/png;base64,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)
Buscar el botón de combinar y centrar que se encuentra en la barra de formato
![](data:image/png;base64,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)
Al oprimirlo notarás que las celdas seleccionadas se han fusionado convirtiendose en una sola celda que abarca varias filas y columnas.
![](data:image/png;base64,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)
Luego escribe los datos que corresponden en cada celda y combina las celdas que se necesario combinar según la imagen
![](data:image/png;base64,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)
Luego selecciona las celdas que forma parte de la estructura de la factura, y oprime el botón de bordes, se desplegara una lista de opciones.
![](data:image/png;base64,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)
Selecccióna la última opción de bordes que se muestra pues esta corresponde a todos los bordes para que la factura quede como en la imagen.
![](data:image/png;base64,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)
Luego vamos a empezar a llenar los datos para así realizar nuestra factura
![](data:image/png;base64,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)
Para los códigos, se debe formatear la celda para que permita la escritura de ceros, pues al escribir un número como 00001, solo aparecerá el 1 y no los ceros previos.
Para calcular los valores totales, es tan simple como multiplicar la cantidad de artículos por su valor unitario.
![](data:image/png;base64,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)
Luego podemos estirar la fórmula para ayudarnos a ahorrar tiempo (este temá se trabajó en las 2 actividades anteriores).
![](data:image/png;base64,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)
Para obtener los valores que nos hacen falta, es necesario calcular primero el total, que corresponde a la suma de todos los valores totales de la factura, luego calculamos el IVA, que para este ejemplo corresponderá al 16% del total y por último el subtotal que sería la resta entre el total y el IVA.
Lo más seguro es que para obtener el total, usted intente usar la operación de la suma, y está en lo correcto, sería algo así:![](data:image/png;base64,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)
Sin embargo hay una forma más fácil de hacerlo y usar la función de AUTOSUMA, que consiste en escribir: =SUMA(CELDA INICIO : CELDA FIN ), Celda de Inicio sería el punto (celda) desde donde comenzaremos la suma y Celda Fin, sería el punto (celda) donde terminariamos los valores a sumar, para nuestro caso, sería =SUMA(F8:F17). El caractér : expresa que se está trabajando un conjunto de valores (desd-hasta)
![](data:image/png;base64,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)
Al terminar la función, oprimimos la tecla enter y entonces aparecerá el resultado de la sumatoria (la sumatoria es utilizada para sumar un rango de números, para sumar 2 o tres valores, no es necesario usarla, también tenga en cuenta que la sumatoria funciona en "línea recta", suma valores consecutivos en celdas horizontales o valores consecutivos en celdas verticales)
![](data:image/png;base64,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)
Para hallar el IVA, multipicamos el total por el 16%, eso podemos hacerlo de diferentes formas:
Podemos usar una regla de 3, que sería en palabras algo así, si total es el 100%, x es el 16%, entonces cruzando los valores quedaría total*16 / 100
![](data:image/png;base64,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)
Podemos simplemente hacer una multiplicación del total por el 16%
![](data:image/png;base64,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)
También se puede multiplicar el total por 0,16 pues esta es la equivalencia matemática de 16% pues es lo mismo que 16/100
![](data:image/png;base64,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)
Para hallar el subtotal, simplemente restamos el total menos el IVA
![](data:image/png;base64,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)
El resultado sería entonces:
Selecciona las filas 1 y 2 hasta la columna F
Buscar el botón de combinar y centrar que se encuentra en la barra de formato
Al oprimirlo notarás que las celdas seleccionadas se han fusionado convirtiendose en una sola celda que abarca varias filas y columnas.
Luego escribe los datos que corresponden en cada celda y combina las celdas que se necesario combinar según la imagen
Luego selecciona las celdas que forma parte de la estructura de la factura, y oprime el botón de bordes, se desplegara una lista de opciones.
Selecccióna la última opción de bordes que se muestra pues esta corresponde a todos los bordes para que la factura quede como en la imagen.
Luego vamos a empezar a llenar los datos para así realizar nuestra factura
Para los códigos, se debe formatear la celda para que permita la escritura de ceros, pues al escribir un número como 00001, solo aparecerá el 1 y no los ceros previos.
Para calcular los valores totales, es tan simple como multiplicar la cantidad de artículos por su valor unitario.
Luego podemos estirar la fórmula para ayudarnos a ahorrar tiempo (este temá se trabajó en las 2 actividades anteriores).
Para obtener los valores que nos hacen falta, es necesario calcular primero el total, que corresponde a la suma de todos los valores totales de la factura, luego calculamos el IVA, que para este ejemplo corresponderá al 16% del total y por último el subtotal que sería la resta entre el total y el IVA.
Lo más seguro es que para obtener el total, usted intente usar la operación de la suma, y está en lo correcto, sería algo así:
Sin embargo hay una forma más fácil de hacerlo y usar la función de AUTOSUMA, que consiste en escribir: =SUMA(CELDA INICIO : CELDA FIN ), Celda de Inicio sería el punto (celda) desde donde comenzaremos la suma y Celda Fin, sería el punto (celda) donde terminariamos los valores a sumar, para nuestro caso, sería =SUMA(F8:F17). El caractér : expresa que se está trabajando un conjunto de valores (desd-hasta)
Al terminar la función, oprimimos la tecla enter y entonces aparecerá el resultado de la sumatoria (la sumatoria es utilizada para sumar un rango de números, para sumar 2 o tres valores, no es necesario usarla, también tenga en cuenta que la sumatoria funciona en "línea recta", suma valores consecutivos en celdas horizontales o valores consecutivos en celdas verticales)
Para hallar el IVA, multipicamos el total por el 16%, eso podemos hacerlo de diferentes formas:
Podemos usar una regla de 3, que sería en palabras algo así, si total es el 100%, x es el 16%, entonces cruzando los valores quedaría total*16 / 100
Podemos simplemente hacer una multiplicación del total por el 16%
También se puede multiplicar el total por 0,16 pues esta es la equivalencia matemática de 16% pues es lo mismo que 16/100
Para hallar el subtotal, simplemente restamos el total menos el IVA
El resultado sería entonces:
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