what are the ways at looking in a set of data? how significant are these sets of data in history?
Answers
Explanation:
It is far easier to answer interesting questions of data sets that have not already been analyzed.
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Keep up with media that make use of data. ...
Listen to prominent voices in the open data space. ...
Request data that's never seen the light. ...
Use metadata to your advantage.
Answer:
Depending on which field the data is related to - whether it is related to the areas we already know most - it probably won't make much difference if the data distribution matches your current data set.
If the data is related to areas where we did not have much data available - space, whether or all the new fitness trackers we are all wearing these days.
Eligibility tracker data was not available in the last few years, so additional data will change the data, especially if the acquisition has moved from first-time acquisition (technical and qualification professionals) to other people - adults. children etc - bet there is not much data related to them.
Explanation:
1 - Tables - First thing, I look at all the tables/tabs available and find out which one is the most important. Is it reasonable to look at them all at first or is it just right for the first table?
2 - Columns - I look up the names of the columns and find out which ones are the most important.
3 - Data Quality - I check the quality of the data in these columns - are there any missing values? Do I have to re-format the data to make it work better - in this case create a backup copy of the first table? A good idea is to make as much data as possible numbers.
4 - Data Selection - Now I will start looking at the data in these columns. Which data is interesting, useful or surprising?
5 - Column analysis - As Fawn points out, now is a good point to analyze this data.
For numerical data, you can perform all kinds of basic analyses. Examples are rating, median, making a distribution chart or getting the highest / lowest values.
For language data, you can analyze the occurrence of each word in the chart.
6 - Table Analysis - To make more sense of the relationship between data from different columns, you can calculate the correlation between columns. If you have multi-digit data, you may want to summarize columns with high relevance. Thus, you can use the key component analysis. You can do these things using the R math software.