Examples on Data Handling
Example 1: In a survey done for a week from Monday to Sunday, for two cities Agra and Delhi, The temperatures of both the cities are measured and the temperatures obtained are as following,
Draw the Bar Graph for the given table in the question.
Solution:
The Given table has two categories of data, one is the temperature for Agra and the other is the temperature for Delhi, Therefore, the graph can be drawn in one as a double- Bar graph, the graph shall look like,
Example 2: In a Theater, there are 3 Plays with different amounts of actors participating in each play. In play 1, there are 9 actors, in play 2, there are 3 lesser actors, and the number of actors in play 3 is one lesser than play 1. Draw the Pictograph for the information given and analyze in which play, the stage will be most crowded.
Solution:
From the information given in the question, we can say that play 1 has 9 actors, play 2 has 6 actors and play 3 has 10 actors
Representing actors in the pictorial form as,
Therefore, we can conclude that Play 3 has the stage most crowded as it has 10 actors acting on stage.
Example 3: In a Weather Report conducted for 5 weeks continuously, it was noted that not all days are sunny days in the season of spring. The observation said that week 1 had 4 sunny days, week 2 had 5 sunny days, week 3 had only 2 sunny days, week 4 had sunny days in the entire week, and week 5 had only 3 sunny days.
Draw a Pictograph for the information given above.
Solution:
Representing sunny days in pictorial form for better understanding,
Important Maths Related Links:
Data Handling
Data Handling: Nowadays, managing and representing data systematically has become very important especially when the data provided is large and complex, This is when Data Handling comes into the picture.
Data handling involves the proper management of research data throughout and beyond the lifespan of a research project. This process includes establishing and implementing policies and procedures for securely storing, archiving, or disposing of data. It encompasses both electronic and non-electronic means of data management to ensure the data’s safety and security at all stages.
Statistics is another term for data handling, and it is useful not only in the fields of Math and Science but also in the fields where the representation of data is required. Let’s learn about some forms of Data handling, including the graphical representation of data and how they work.
Table of Content
- What is Data Handling?
- Data Handling Meaning
- Graphical Representation of Data
- Pictographs
- Drawing a Pictograph
- Bar Graphs
- Types of Bar Graph
- Vertical Bar Graph
- Horizontal Bar Graph
- Double- Bar Graph
- Line Graphs
- How to Make a Line Graph?
- Pie Charts
- Scatter Plot
- Examples on Data Handling
- Data Handling Worksheet