Chiêu 40: Cho phép sử dụng tính năng Group and Outline trên bảng tính bị khoá
Để thực hiện điều này, trước tiên bạn hãy thiết lập Group and Outline cho dữ liệu của mình. Chọn vùng dữ liệu rồi vào Data ➝ Group ➝ Outline và chọn Auto Outline (E2003: Data ➝ Group & Outline) kết quả như hình sau:
Sau đó, bạn dùng tính năng Protect Sheet để khoá bảng tính lại: vào Review ➝ tại nhóm Changes ➝ chọn Protect Sheet và đặt vào mật mã bảo vệ. (Ví dụ như mật mã là Secret).
The information contained in this book is provided without any express, statutory, or implied warranties. Neither the authors, Microsoft Corporation, nor its resellers, or distributors will be held liable for any damages caused or alleged to be caused either directly or indirectly by this book. Acquisitions Editor: Rosemary Caperton Developmental Editor: Devon Musgrave Project Editor: Rosemary Caperton Editorial and Production: John Pierce and Waypoint Press Technical Reviewer: Mitch Tulloch; Technical Review services provided by Content Master, a member of CM Group, Ltd. Cover: Twist
Subsequently, the 1996 Nepal Family Health Survey, the 2001 Nepal Demographic and Health
Survey and the 2006 Nepal Demographic and Health surveys were conducted. This trend report
discusses key findings from these three DHS surveys in Nepal. All three Nepal DHS surveys sampled
nationally representative populations, were conducted by the same organization (New ERA Ltd.), and
managed by the same core group of survey personnel.
Group Policy Overview The System policies provide another instrument to help system administrators control user access to the network and manage desktop settings, including data sharing and configuring system settings
Hướng dẫn kiểm soát cài đặt thiết bị và sử dụng Group Policy: Giới thiệu
.Bài này này sẽ hướng dẫn từng bước cho bạn cách làm thế nào để kiểm soát được vấn đề cài đặt và sử dụng thiết bị trên các máy tính mà bạn đang quản lý.
Finding groups of objects such that the objects in a group will be similar (or related) to one another and different from (or unrelated to) the objects in other groups.
Group related documents for browsing, group genes and proteins that have similar functionality, or group stocks with similar price fluctuations
Reduce the size of large data sets
Creates nested clusters
Agglomerative clustering algorithms vary in terms of how the proximity of two clusters are computed
MIN (single link): susceptible to noise/outliers
MAX/GROUP AVERAGE: may not work well with non-globular clusters
CURE algorithm tries to handle both problems
Often starts with a proximity matrix
A type of graph-based algorithm
Benchmaking the Efficiency of Government Warehouse Operations: A Data Enveronment Analysis Approach It similarly seems unlikely that parents have zero concern for peer group. In the
presence of direct or indirect peer effects on student learning, parents would be irrational to
ignore peer group in their evaluations of schools, and anecdotal evidence suggests that they
do not do so.
Data design is an essential part of the application development cycle. By analogy,
building an application is like building a house. Having the right tools is important,
but we need a solid foundation: the data structure. However, producing a good data
structure can be a daunting challenge; the quest for a perfect data structure can lead
us to new territories where many methods are available. Which one is the best? How
can we keep our focus on the goal to achieve, without losing our time?
After completing this lesson, you should be able to
do the following:
Identify the available group functions
Describe the use of group functions
Group data using the GROUP BY clause
Include or exclude grouped rows by using the HAVING clause
After completing this lesson, you should be able
to do the following:
Use the ROLLUP operation to producesubtotal values
Use the CUBE operation to produce cross-tabulation values
Use the GROUPING function to identify the row values created by ROLLUP or CUBE
Use GROUPING SETS to produce a single result set
In a group of 23 people, the probability that there are at least two persons on the same day in the same month is greater than 1/2
Proof. The probability that none of the 23 people has the same birthday is:
Transforming syntactic representations in order to improve parsing accuracy has been exploited successfully in statistical parsing systems using constituency-based representations. In this paper, we show that similar transformations can give substantial improvements also in data-driven dependency parsing. Experiments on the Prague Dependency Treebank show that systematic transformations of coordinate structures and verb groups result in a 10% error reduction for a deterministic data-driven dependency parser.
this paper analyzes the panel data of bi-weekly surveys, conducted by the japan center for international finance, on the yen dollar exchange rate expectations of forty—four institutions for two years. there are three major findings in this paper. first, market participants are found to be heterogeneous. there are significant "individual effects" in their expectation institutions are found to violate the formation.
Chapter 15 - Nonparametric methods: Goodness-of-fit tests. When you have completed this chapter, you will be able to: Conduct a test of hypothesis comparing an observed set of frequencies to an expected distribution, list and explain the characteristics of the chi-square distribution, compute a goodness-of-fit test for unequal expected frequencies, conduct a test of hypothesis to verify that data grouped into a frequency distribution are a sample from a normal distribution,...
Chapter 16 - Data warehouse technology and management. This chapter presents the technology and management of data warehouses to satisfy the requirements of decision support. Data warehouse technology complements and extends relational database technology beyond online transaction processing and simple query capabilities such as the GROUP BY clause in SQL.
(BQ) Part 2 book "Statistics - The art and science of learning from data" has contents: Statistical inference - confidence intervals; comparing two groups, multiple regression, nonparametric statistics, comparing groups - analysis of variance methods,...and other contents.
Lecture Research methods - Chapter 6 presents the following content: Secondary data sources; types of secondary data; locating secondary data; advantages and disadvantages of secondary data and evaluating secondary data; collecting primary data through observations; participant observation and structured observation; collecting primary data using semi-structured, in-depth and group interviews; collecting primary data using questionnaires.