2.2 – Organizing Quantitative Data: The Popular Displays

3 Ways of Effectively Organizing Data for Better Analysis and Presentation

• Data Scrubbing.
• Charts and Graphs.
• Organization by Category and Attributes.

To improve your data analysis skills and simplify your decisions, execute these five steps in your data analysis process:

1. Step 1: Define Your Questions.
2. Step 2: Set Clear Measurement Priorities.
3. Step 3: Collect Data.
4. Step 4: Analyze Data.
5. Step 5: Interpret Results.

1. Organize discrete data in tables.
2. Construct histograms of discrete data.
3. Organize continuous data in tables.
4. Construct histograms of continuous data.
5. Draw stem-and-leaf plots.
6. Draw dot plots.
7. Identify the shape of a distribution.

Organizing and Presenting Data

• Coding data.
• Exploratory Data Analysis.
• Stem-and-Leaf Diagram.
• Boxplots.
• Frequency Tables: Standard, Relative, and Cumulative.
• Graphs of Data,
• Histograms/Bar charts, Ogive, Pareto Diagrams,
• Pie Charts.

These are data organized into categories or intervals, usually presented in a table or diagram. Grouped data refer to tables, diagrams, or other presentations of data where values or sets of values are grouped together into categories or intervals.

Quantitative research is flexible so at any stage, the study may change. Quantitative data are more credible, reliable, and useful than qualitative data. The research study cannot be replicated or repeated because it is unique in every case. Data are in the form of numbers and analyzed statistically.

Why is data organization important? Good data organization strategies are important because your data contains the keys to managing your company’s most valuable assets. Getting insights out of this data could help you obtain better business intelligence and play a major role in your company’s success.

After data has been collected, the next step is organising the data, by bringing it together in a systematic way that makes it easier to read. We can organise data by using tallies and frequency tables. organising data Organising data is bringing it together in a systematic way that makes it easier to read.

Understanding records and fields Understanding how databases are organized can help you retrieve information more efficiently. Information about each item in a database is called a record. Fields can be used as points of access when searching a database.

Advantages of Database Management System

• Reducing Data Redundancy. The file based data management systems contained multiple files that were stored in many different locations in a system or even across multiple systems.
• Sharing of Data.
• Data Integrity.
• Data Security.
• Privacy.
• Backup and Recovery.
• Data Consistency.

Follow these steps to decide how to organize your data into tables:

1. Name your database.
2. Identify the objects.
3. Define and name a table for each object.
4. Identify the attributes for each object.
5. Define and name columns for each separate attribute that you identify in Step 4.
6. Identify the primary key.

A data strategy is a vision for how a company will collect, store, manage, share and use data. Every organization’s data strategy will look a bit different, but generally, a data strategy will do the following: Define how data will help the company meet business goals.

How do businesses collect your data? Companies capture data in many ways from many sources. “Customer data can be collected in three ways: by directly asking customers, by indirectly tracking customers, and by appending other sources of customer data to your own,” said Hanham.

Instagram comes next in the list. The Facebook-owned app collects 69.23% of all available data, such as your hobbies, height, weight and sexual orientation. Like its parent company, Instagram uses most of this information for advertising and recommending accounts you should follow.

China

• General Electric. GE – with its fingers in every pie from finance to aviation to power, is perfectly positioned to benefit from its championing of “The internet of things”.
• IBM.
• Amazon.
• Facebook.
• Google.
• Cloudera.
• Kaggle.

Big Data Companies To Buy And Watch The list of Big Data companies continues to grow. Leaders in the field include MongoDB (MDB), Elastic (ESTC), Workiva (WK) and Splunk (SPLK).

DELL EMC helps businesses to store, analyze and protect their data. It provides an infrastructure to get the business outcome from Big Data. It helps the organization to understand customer behavior, risk, operations. Dell EMC has over 50% growth with Data Analytics.

There are a few ways by which you can track the investments of big players of the stock market in any share….Let’s discuss those ways.

1. Check the block/bulk deals list.
2. Check the shareholding pattern of the companies.
3. Track Portfolio using financial aggregator websites.

Going big by going mobile As a result of this technology, 18.9 million active Starbucks Rewards members now receive personalized recommendations from the app for food and drinks based on local store inventory, popular selections, weather, time of day, community preferences, and previous orders.