| 1 | about past talks events | | | | | | | 1 | 0.37% |
| 2 | enthusiast with an extensive | | | | | | | 1 | 0.37% |
| 3 | and clean some realworld | | | | | | | 1 | 0.37% |
| 4 | clean some realworld data | | | | | | | 1 | 0.37% |
| 5 | some realworld data starttofinish | | | | | | | 1 | 0.37% |
| 6 | realworld data starttofinish about | | | | | | | 1 | 0.37% |
| 7 | dorotadorota is a data | | | | | | | 1 | 0.37% |
| 8 | is a data scientist | | | | | | | 1 | 0.37% |
| 9 | a data scientist and | | | | | | | 1 | 0.37% |
| 10 | data scientist and data | | | | | | | 1 | 0.37% |
| 11 | scientist and data enthusiast | | | | | | | 1 | 0.37% |
| 12 | and data enthusiast with | | | | | | | 1 | 0.37% |
| 13 | data enthusiast with an | | | | | | | 1 | 0.37% |
| 14 | background in cleaningwrangling analysis | | | | | | | 1 | 0.37% |
| 15 | use them and clean | | | | | | | 1 | 0.37% |
| 16 | in cleaningwrangling analysis and | | | | | | | 1 | 0.37% |
| 17 | cleaningwrangling analysis and visualization | | | | | | | 1 | 0.37% |
| 18 | analysis and visualization in | | | | | | | 1 | 0.37% |
| 19 | and visualization in the | | | | | | | 1 | 0.37% |
| 20 | higher education space dorota | | | | | | | 1 | 0.37% |
| 21 | education space dorota has | | | | | | | 1 | 0.37% |
| 22 | space dorota has a | | | | | | | 1 | 0.37% |
| 23 | dorota has a master’s | | | | | | | 1 | 0.37% |
| 24 | has a master’s in | | | | | | | 1 | 0.37% |
| 25 | a master’s in applied | | | | | | | 1 | 0.37% |
| 26 | master’s in applied statistics | | | | | | | 1 | 0.37% |
| 27 | them and clean some | | | | | | | 1 | 0.37% |
| 28 | functions demonstrate how to | | | | | | | 1 | 0.37% |
| 29 | in r sas and | | | | | | | 1 | 0.37% |
| 30 | useful functions that when | | | | | | | 1 | 0.37% |
| 31 | talk about the talksimplify | | | | | | | 1 | 0.37% |
| 32 | about the talksimplify your | | | | | | | 1 | 0.37% |
| 33 | the talksimplify your data | | | | | | | 1 | 0.37% |
| 34 | talksimplify your data cleaning | | | | | | | 1 | 0.37% |
| 35 | your data cleaning with | | | | | | | 1 | 0.37% |
| 36 | the janitor package it’s | | | | | | | 1 | 0.37% |
| 37 | janitor package it’s loaded | | | | | | | 1 | 0.37% |
| 38 | package it’s loaded with | | | | | | | 1 | 0.37% |
| 39 | it’s loaded with useful | | | | | | | 1 | 0.37% |
| 40 | loaded with useful functions | | | | | | | 1 | 0.37% |