Histogram Example | Foundry Industries Examples
Histogram Example | Foundry Industries Examples
Histogram Example: Hello, Readers! Here we will discuss two important industrial examples to prepare a Histogram and its interpretation. If you are interested in downloading the Excel template/format, then go through the beneath links.
DOWNLOAD [Histogram Template in Excel format].
How to Prepare Histogram in Excel?
Example-1:
A Process engineer of an organization (XYZ Ltd) had decided to know the bins range [frequency distribution] of pouring temperature of casting and he has started collecting the data of 30 number readings and analyzing that data distribution that histogram graph is normal or non-normal. Illustrations of the same readings are given below,
DOWNLOAD Example-1’s Histogram Excel Template.
| Parameter: | Pouring Temperature of Casting | 1390±10°C | M/C | Shift | Date |
| Sl. No | Readings | Sl. No | Readings |
| 1 | 1390 | 16 | 1399 |
| 2 | 1389 | 17 | 1395 |
| 3 | 1395 | 18 | 1397 |
| 4 | 1394 | 19 | 1396 |
| 5 | 1393 | 20 | 1392 |
| 6 | 1392 | 21 | 1393 |
| 7 | 1397 | 22 | 1393 |
| 8 | 1398 | 23 | 1400 |
| 9 | 1397 | 24 | 1389 |
| 10 | 1393 | 25 | 1390 |
| 11 | 1396 | 26 | 1390 |
| 12 | 1400 | 27 | 1391 |
| 13 | 1391 | 28 | 1392 |
| 14 | 1400 | 29 | 1393 |
| 15 | 1398 | 30 | 1397 |
| Min. | 1389 |
| Max. | 1400 |
| Count | 30 |
| Interval | 1.2 |
| Parameter | Frequency |
| 1389 | 2 |
| 1390.2 | 3 |
| 1391.4 | 2 |
| 1392.7 | 3 |
| 1393.9 | 5 |
| 1395.1 | 3 |
| 1396.3 | 2 |
| 1397.6 | 4 |
| 1398.8 | 2 |
| 1400.0 | 1 |
| 1401.2 | 3 |
| Sum of frequency | 30 |
Interpretation of Result: Non-normal data distribution.
Example-2:
We have collected the 30 readings of green sand permeability, details are given below and also, and we have plotted a histogram to know the data frequency distribution.
DOWNLOAD Exanple-2’s Histogram Excel Format.
| Parameter: | Green sand Permeability | 200±10 | M/C | Shift | Date |
| Sl. No | Readings | Sl. No | Readings |
| 1 | 201 | 16 | 200 |
| 2 | 200 | 17 | 201 |
| 3 | 202 | 18 | 201 |
| 4 | 201 | 19 | 203 |
| 5 | 200 | 20 | 201 |
| 6 | 199 | 21 | 198 |
| 7 | 199 | 22 | 199 |
| 8 | 198 | 23 | 197 |
| 9 | 201 | 24 | 197 |
| 10 | 200 | 25 | 198 |
| 11 | 199 | 26 | 199 |
| 12 | 198 | 27 | 200 |
| 13 | 197 | 28 | 201 |
| 14 | 199 | 29 | 203 |
| 15 | 198 | 30 | 200 |
| Min. | 197 |
| Max. | 203 |
| Count | 30 |
| Interval | 0.7 |
| Parameter | Frequency |
| 197 | 3 |
| 197.7 | 0 |
| 198.3 | 5 |
| 199.0 | 0 |
| 199.7 | 6 |
| 200.3 | 6 |
| 201.0 | 0 |
| 201.7 | 7 |
| 202.3 | 1 |
| 203.0 | 0 |
| 203.7 | 2 |
| Sum of frequency | 30 |
Interpretation of Result: Non-Normal data distribution.
Useful Links:
How to Plot Pareto Chart in Excel ( with example)
OEE Calculation-How To Calculate OEE (Overall Equipment Effectiveness) with Example
Implementation of KAIZEN in Industry
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