This tutorial shows how to link a cell in an excel sheet to another excel sheet.

How to link excel sheet to another spreadsheet


 

Comments

Post a Comment

Popular posts from this blog

Time Series Analysis Using ARIMA Model For Forecasting In R (Practical) Time series refers to a set of observations on a particular variable recorded in time sequence. This time sequence or space can be hourly, daily, weekly, monthly, quarterly or yearly. Why time series analysis 1.      Its emphasis is to support decision making 2.      To fit a mathematical model and then proceed to forecast the future. The tool that we will be using for the practice is the RStudio you can click on the link below and download the RStudio setup and install it; https://rstudio.com/products/rstudio/download/ The dataset that will be used is the daily-minimum-temperatures-in-me.csv you can download it from Kaggle. Below is the link to download the daily minimum temperatures in me dataset; https://www.kaggle.com/paulbrabban/daily-minimum-temperatures-in-melbourne The libraries that will be used for the model in time se...
Read more

Linear Regression Prediction Model for predicting Graduate Admissions in Python with Scikit-Learn

The program code is used for prediction of  Graduate Admissions which uses the Linear Regression Model and cross-validation to split the dataset into training and testing data, including R squared to show how the data fit the model. The program code also allows the user to input it performs or scores to check whether he or she has the chance of admission. The dataset was downloaded from www.kaggle.com, below is the dataset download link; https://www.kaggle.com/mohansacharya/graduate-admissions #importing the essential libraries import numpy as np import pandas as pd from sklearn.linear_model import LinearRegression from sklearn.model_selection import train_test_split #importing dataset df=pd.read_csv('Admission_Predict_Ver1.1.csv',index_col=0) #independent or explanatory variables feature_cols=['GRE Score','TOEFL Score','LOR','CGPA','Research'] X=np.array(df[feature_cols],dtype=np.float64) #dependent or response variable y...
Read more