Row 93981

Row ID: 93981 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 93981 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

The problem is that a lot of especially older professionals think that sorting and plotting big amounts of data can be considered "data science".

Out lab had an environmental monitoring project with an institute involved, that did the work on the data. We got the final report and with nice plots in it. Our head of the department told everyone (even on confereces), this Institute used "data science" to analyze two years of the monitoring.

After reading the python files I realised what they did was only sorting an grouping huge amounts of data. They interpolated missing data with linear Interpolation using pandas. They then performed some math on the level of elementary school. They then plotted some nice diagramms using matplotlib / seaborn. That was all and everyone called it "data science".

And thats the problem in my option. People are mixing up "data engeneering " - handling and plotting big data for example - with data science, where for me, scientifical methods and therories are applied to the data to get new Insights or proofe theories.

I often export data to pandas, sort and filter this data, do basic calculations and plot it for reports - but i would never consider myself a data scientist. When the head of our department would talk about my work with data I guess he would Tell everyone that I am an analytical chemist who is also a data scientist. He just does not unterstand that I am using pandas / matplotlib because I don't like to do excel with more that 100 rows of data 😂

FieldValue
text The problem is that a lot of especially older professionals think that sorting and plotting big amounts of data can be considered "data science". Out lab had an environmental monitoring project with an institute involved, that did the work on the data. We got the final report and with nice plots in it. Our head of the department told everyone (even on confereces), this Institute used "data science" to analyze two years of the monitoring. After reading the python files I realised what they did…
label r/datascience
dataType comment
communityName r/datascience
datetime 2024-05-25
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Raw Record

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  "text": "The problem is that a lot of especially older professionals think that sorting and plotting big amounts of data can be considered \"data science\".\n\nOut lab had an environmental monitoring project with an institute involved, that did the work on the data. We got the final report and with nice plots in it. Our head of the department told everyone (even on confereces), this Institute used \"data science\" to analyze two years of the monitoring. \n\nAfter reading the python files I realised what they did was only sorting an grouping huge amounts of data. They interpolated missing data with linear Interpolation using pandas. They then performed some math on the level of elementary school. They then plotted some nice diagramms using matplotlib / seaborn. That was all and everyone called it \"data science\".\n\nAnd thats the problem in my option. People are mixing up \"data engeneering \" - handling and plotting big data for example - with data science, where for me, scientifical methods and therories are applied to the data to get new Insights or proofe theories. \n\nI often export data to pandas, sort and filter this data, do basic calculations and plot it for reports - but i would never consider myself a data scientist. When the head of our department would talk about my work with data I guess he would Tell everyone that I am an analytical chemist who is also a data scientist. He just does not unterstand that I am using pandas / matplotlib because I don't like to do excel with more that 100 rows of data 😂",
  "label": "r/datascience",
  "dataType": "comment",
  "communityName": "r/datascience",
  "datetime": "2024-05-25",
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